AB de Villiers.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "mexican-democracy",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Asus\\anaconda3\\envs\\DataAnalysisEnv\\lib\\site-packages\\IPython\\core\\interactiveshell.py:3165: DtypeWarning: Columns (1) have mixed types.Specify dtype option on import or set low_memory=False.\n",
      "  has_raised = await self.run_ast_nodes(code_ast.body, cell_name,\n"
     ]
    },
    {
     "data": {
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       "<div>\n",
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       "    }\n",
       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>match_id</th>\n",
       "      <th>season</th>\n",
       "      <th>start_date</th>\n",
       "      <th>venue</th>\n",
       "      <th>innings</th>\n",
       "      <th>ball</th>\n",
       "      <th>batting_team</th>\n",
       "      <th>bowling_team</th>\n",
       "      <th>striker</th>\n",
       "      <th>non_striker</th>\n",
       "      <th>...</th>\n",
       "      <th>extras</th>\n",
       "      <th>wides</th>\n",
       "      <th>noballs</th>\n",
       "      <th>byes</th>\n",
       "      <th>legbyes</th>\n",
       "      <th>penalty</th>\n",
       "      <th>wicket_type</th>\n",
       "      <th>player_dismissed</th>\n",
       "      <th>other_wicket_type</th>\n",
       "      <th>other_player_dismissed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>335982</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>2008-04-18</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>SC Ganguly</td>\n",
       "      <td>BB McCullum</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>335982</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>2008-04-18</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>1</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>BB McCullum</td>\n",
       "      <td>SC Ganguly</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>335982</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>2008-04-18</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>1</td>\n",
       "      <td>0.3</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>BB McCullum</td>\n",
       "      <td>SC Ganguly</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>335982</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>2008-04-18</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>1</td>\n",
       "      <td>0.4</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>BB McCullum</td>\n",
       "      <td>SC Ganguly</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>335982</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>2008-04-18</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>1</td>\n",
       "      <td>0.5</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>BB McCullum</td>\n",
       "      <td>SC Ganguly</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199917</th>\n",
       "      <td>1254083</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-04-30</td>\n",
       "      <td>Narendra Modi Stadium, Ahmedabad</td>\n",
       "      <td>2</td>\n",
       "      <td>19.2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Punjab Kings</td>\n",
       "      <td>KA Jamieson</td>\n",
       "      <td>HV Patel</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199918</th>\n",
       "      <td>1254083</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-04-30</td>\n",
       "      <td>Narendra Modi Stadium, Ahmedabad</td>\n",
       "      <td>2</td>\n",
       "      <td>19.3</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Punjab Kings</td>\n",
       "      <td>HV Patel</td>\n",
       "      <td>KA Jamieson</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199919</th>\n",
       "      <td>1254083</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-04-30</td>\n",
       "      <td>Narendra Modi Stadium, Ahmedabad</td>\n",
       "      <td>2</td>\n",
       "      <td>19.4</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Punjab Kings</td>\n",
       "      <td>HV Patel</td>\n",
       "      <td>KA Jamieson</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>caught</td>\n",
       "      <td>HV Patel</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199920</th>\n",
       "      <td>1254083</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-04-30</td>\n",
       "      <td>Narendra Modi Stadium, Ahmedabad</td>\n",
       "      <td>2</td>\n",
       "      <td>19.5</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Punjab Kings</td>\n",
       "      <td>KA Jamieson</td>\n",
       "      <td>Mohammed Siraj</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199921</th>\n",
       "      <td>1254083</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-04-30</td>\n",
       "      <td>Narendra Modi Stadium, Ahmedabad</td>\n",
       "      <td>2</td>\n",
       "      <td>19.6</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Punjab Kings</td>\n",
       "      <td>Mohammed Siraj</td>\n",
       "      <td>KA Jamieson</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>199922 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        match_id   season  start_date                             venue  \\\n",
       "0         335982  2007/08  2008-04-18             M Chinnaswamy Stadium   \n",
       "1         335982  2007/08  2008-04-18             M Chinnaswamy Stadium   \n",
       "2         335982  2007/08  2008-04-18             M Chinnaswamy Stadium   \n",
       "3         335982  2007/08  2008-04-18             M Chinnaswamy Stadium   \n",
       "4         335982  2007/08  2008-04-18             M Chinnaswamy Stadium   \n",
       "...          ...      ...         ...                               ...   \n",
       "199917   1254083     2021  2021-04-30  Narendra Modi Stadium, Ahmedabad   \n",
       "199918   1254083     2021  2021-04-30  Narendra Modi Stadium, Ahmedabad   \n",
       "199919   1254083     2021  2021-04-30  Narendra Modi Stadium, Ahmedabad   \n",
       "199920   1254083     2021  2021-04-30  Narendra Modi Stadium, Ahmedabad   \n",
       "199921   1254083     2021  2021-04-30  Narendra Modi Stadium, Ahmedabad   \n",
       "\n",
       "        innings  ball                 batting_team  \\\n",
       "0             1   0.1        Kolkata Knight Riders   \n",
       "1             1   0.2        Kolkata Knight Riders   \n",
       "2             1   0.3        Kolkata Knight Riders   \n",
       "3             1   0.4        Kolkata Knight Riders   \n",
       "4             1   0.5        Kolkata Knight Riders   \n",
       "...         ...   ...                          ...   \n",
       "199917        2  19.2  Royal Challengers Bangalore   \n",
       "199918        2  19.3  Royal Challengers Bangalore   \n",
       "199919        2  19.4  Royal Challengers Bangalore   \n",
       "199920        2  19.5  Royal Challengers Bangalore   \n",
       "199921        2  19.6  Royal Challengers Bangalore   \n",
       "\n",
       "                       bowling_team         striker     non_striker  ...  \\\n",
       "0       Royal Challengers Bangalore      SC Ganguly     BB McCullum  ...   \n",
       "1       Royal Challengers Bangalore     BB McCullum      SC Ganguly  ...   \n",
       "2       Royal Challengers Bangalore     BB McCullum      SC Ganguly  ...   \n",
       "3       Royal Challengers Bangalore     BB McCullum      SC Ganguly  ...   \n",
       "4       Royal Challengers Bangalore     BB McCullum      SC Ganguly  ...   \n",
       "...                             ...             ...             ...  ...   \n",
       "199917                 Punjab Kings     KA Jamieson        HV Patel  ...   \n",
       "199918                 Punjab Kings        HV Patel     KA Jamieson  ...   \n",
       "199919                 Punjab Kings        HV Patel     KA Jamieson  ...   \n",
       "199920                 Punjab Kings     KA Jamieson  Mohammed Siraj  ...   \n",
       "199921                 Punjab Kings  Mohammed Siraj     KA Jamieson  ...   \n",
       "\n",
       "       extras  wides  noballs  byes  legbyes  penalty  wicket_type  \\\n",
       "0           1    NaN      NaN   NaN      1.0      NaN          NaN   \n",
       "1           0    NaN      NaN   NaN      NaN      NaN          NaN   \n",
       "2           1    1.0      NaN   NaN      NaN      NaN          NaN   \n",
       "3           0    NaN      NaN   NaN      NaN      NaN          NaN   \n",
       "4           0    NaN      NaN   NaN      NaN      NaN          NaN   \n",
       "...       ...    ...      ...   ...      ...      ...          ...   \n",
       "199917      0    NaN      NaN   NaN      NaN      NaN          NaN   \n",
       "199918      0    NaN      NaN   NaN      NaN      NaN          NaN   \n",
       "199919      0    NaN      NaN   NaN      NaN      NaN       caught   \n",
       "199920      0    NaN      NaN   NaN      NaN      NaN          NaN   \n",
       "199921      0    NaN      NaN   NaN      NaN      NaN          NaN   \n",
       "\n",
       "        player_dismissed other_wicket_type other_player_dismissed  \n",
       "0                    NaN               NaN                    NaN  \n",
       "1                    NaN               NaN                    NaN  \n",
       "2                    NaN               NaN                    NaN  \n",
       "3                    NaN               NaN                    NaN  \n",
       "4                    NaN               NaN                    NaN  \n",
       "...                  ...               ...                    ...  \n",
       "199917               NaN               NaN                    NaN  \n",
       "199918               NaN               NaN                    NaN  \n",
       "199919          HV Patel               NaN                    NaN  \n",
       "199920               NaN               NaN                    NaN  \n",
       "199921               NaN               NaN                    NaN  \n",
       "\n",
       "[199922 rows x 22 columns]"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "# import cufflinks as cf\n",
    "# from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot\n",
    "# init_notebook_mode(connected=True)\n",
    "# cf.go_offline()\n",
    "%matplotlib inline\n",
    "\n",
    "deliveries = pd.read_csv(\"IPL Cricsheet CS new/all_matches.csv\")\n",
    "deliveries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "parallel-finish",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['match_id', 'season', 'start_date', 'venue', 'innings', 'ball',\n",
       "       'batting_team', 'bowling_team', 'striker', 'non_striker', 'bowler',\n",
       "       'runs_off_bat', 'extras', 'wides', 'noballs', 'byes', 'legbyes',\n",
       "       'penalty', 'wicket_type', 'player_dismissed', 'other_wicket_type',\n",
       "       'other_player_dismissed', 'over number', 'ball number'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "deliveries.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "alone-prior",
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.options.display.max_columns\n",
    "pd.set_option(\"display.max_columns\", 50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "induced-phrase",
   "metadata": {},
   "outputs": [],
   "source": [
    "deliveries.wicket_type.unique()\n",
    "bowlers_wickets = ['caught', 'bowled', 'lbw', 'stumped', 'caught and bowled', 'hit wicket']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "committed-captain",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>match_id</th>\n",
       "      <th>season</th>\n",
       "      <th>start_date</th>\n",
       "      <th>venue</th>\n",
       "      <th>innings</th>\n",
       "      <th>ball</th>\n",
       "      <th>batting_team</th>\n",
       "      <th>bowling_team</th>\n",
       "      <th>striker</th>\n",
       "      <th>non_striker</th>\n",
       "      <th>bowler</th>\n",
       "      <th>runs_off_bat</th>\n",
       "      <th>extras</th>\n",
       "      <th>wides</th>\n",
       "      <th>noballs</th>\n",
       "      <th>byes</th>\n",
       "      <th>legbyes</th>\n",
       "      <th>penalty</th>\n",
       "      <th>wicket_type</th>\n",
       "      <th>player_dismissed</th>\n",
       "      <th>other_wicket_type</th>\n",
       "      <th>other_player_dismissed</th>\n",
       "      <th>over number</th>\n",
       "      <th>ball number</th>\n",
       "      <th>is_dot_batsman</th>\n",
       "      <th>bowler_runs</th>\n",
       "      <th>is_dot_bowler</th>\n",
       "      <th>is_wicket</th>\n",
       "      <th>is_four</th>\n",
       "      <th>is_six</th>\n",
       "      <th>is_boundary</th>\n",
       "      <th>is_bowlers_wicket</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>335982</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>2008-04-18</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>SC Ganguly</td>\n",
       "      <td>BB McCullum</td>\n",
       "      <td>P Kumar</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>335982</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>2008-04-18</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>1</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>BB McCullum</td>\n",
       "      <td>SC Ganguly</td>\n",
       "      <td>P Kumar</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>335982</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>2008-04-18</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>1</td>\n",
       "      <td>0.3</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>BB McCullum</td>\n",
       "      <td>SC Ganguly</td>\n",
       "      <td>P Kumar</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>335982</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>2008-04-18</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>1</td>\n",
       "      <td>0.4</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>BB McCullum</td>\n",
       "      <td>SC Ganguly</td>\n",
       "      <td>P Kumar</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>335982</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>2008-04-18</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>1</td>\n",
       "      <td>0.5</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>BB McCullum</td>\n",
       "      <td>SC Ganguly</td>\n",
       "      <td>P Kumar</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199917</th>\n",
       "      <td>1254083</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-04-30</td>\n",
       "      <td>Narendra Modi Stadium, Ahmedabad</td>\n",
       "      <td>2</td>\n",
       "      <td>19.2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Punjab Kings</td>\n",
       "      <td>KA Jamieson</td>\n",
       "      <td>HV Patel</td>\n",
       "      <td>RP Meredith</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199918</th>\n",
       "      <td>1254083</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-04-30</td>\n",
       "      <td>Narendra Modi Stadium, Ahmedabad</td>\n",
       "      <td>2</td>\n",
       "      <td>19.3</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Punjab Kings</td>\n",
       "      <td>HV Patel</td>\n",
       "      <td>KA Jamieson</td>\n",
       "      <td>Mohammed Shami</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199919</th>\n",
       "      <td>1254083</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-04-30</td>\n",
       "      <td>Narendra Modi Stadium, Ahmedabad</td>\n",
       "      <td>2</td>\n",
       "      <td>19.4</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Punjab Kings</td>\n",
       "      <td>HV Patel</td>\n",
       "      <td>KA Jamieson</td>\n",
       "      <td>Mohammed Shami</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>caught</td>\n",
       "      <td>HV Patel</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199920</th>\n",
       "      <td>1254083</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-04-30</td>\n",
       "      <td>Narendra Modi Stadium, Ahmedabad</td>\n",
       "      <td>2</td>\n",
       "      <td>19.5</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Punjab Kings</td>\n",
       "      <td>KA Jamieson</td>\n",
       "      <td>Mohammed Siraj</td>\n",
       "      <td>Mohammed Shami</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199921</th>\n",
       "      <td>1254083</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-04-30</td>\n",
       "      <td>Narendra Modi Stadium, Ahmedabad</td>\n",
       "      <td>2</td>\n",
       "      <td>19.6</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Punjab Kings</td>\n",
       "      <td>Mohammed Siraj</td>\n",
       "      <td>KA Jamieson</td>\n",
       "      <td>Mohammed Shami</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>199922 rows × 32 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        match_id   season  start_date                             venue  \\\n",
       "0         335982  2007/08  2008-04-18             M Chinnaswamy Stadium   \n",
       "1         335982  2007/08  2008-04-18             M Chinnaswamy Stadium   \n",
       "2         335982  2007/08  2008-04-18             M Chinnaswamy Stadium   \n",
       "3         335982  2007/08  2008-04-18             M Chinnaswamy Stadium   \n",
       "4         335982  2007/08  2008-04-18             M Chinnaswamy Stadium   \n",
       "...          ...      ...         ...                               ...   \n",
       "199917   1254083     2021  2021-04-30  Narendra Modi Stadium, Ahmedabad   \n",
       "199918   1254083     2021  2021-04-30  Narendra Modi Stadium, Ahmedabad   \n",
       "199919   1254083     2021  2021-04-30  Narendra Modi Stadium, Ahmedabad   \n",
       "199920   1254083     2021  2021-04-30  Narendra Modi Stadium, Ahmedabad   \n",
       "199921   1254083     2021  2021-04-30  Narendra Modi Stadium, Ahmedabad   \n",
       "\n",
       "        innings  ball                 batting_team  \\\n",
       "0             1   0.1        Kolkata Knight Riders   \n",
       "1             1   0.2        Kolkata Knight Riders   \n",
       "2             1   0.3        Kolkata Knight Riders   \n",
       "3             1   0.4        Kolkata Knight Riders   \n",
       "4             1   0.5        Kolkata Knight Riders   \n",
       "...         ...   ...                          ...   \n",
       "199917        2  19.2  Royal Challengers Bangalore   \n",
       "199918        2  19.3  Royal Challengers Bangalore   \n",
       "199919        2  19.4  Royal Challengers Bangalore   \n",
       "199920        2  19.5  Royal Challengers Bangalore   \n",
       "199921        2  19.6  Royal Challengers Bangalore   \n",
       "\n",
       "                       bowling_team         striker     non_striker  \\\n",
       "0       Royal Challengers Bangalore      SC Ganguly     BB McCullum   \n",
       "1       Royal Challengers Bangalore     BB McCullum      SC Ganguly   \n",
       "2       Royal Challengers Bangalore     BB McCullum      SC Ganguly   \n",
       "3       Royal Challengers Bangalore     BB McCullum      SC Ganguly   \n",
       "4       Royal Challengers Bangalore     BB McCullum      SC Ganguly   \n",
       "...                             ...             ...             ...   \n",
       "199917                 Punjab Kings     KA Jamieson        HV Patel   \n",
       "199918                 Punjab Kings        HV Patel     KA Jamieson   \n",
       "199919                 Punjab Kings        HV Patel     KA Jamieson   \n",
       "199920                 Punjab Kings     KA Jamieson  Mohammed Siraj   \n",
       "199921                 Punjab Kings  Mohammed Siraj     KA Jamieson   \n",
       "\n",
       "                bowler  runs_off_bat  extras  wides  noballs  byes  legbyes  \\\n",
       "0              P Kumar             0       1      0        0     0        1   \n",
       "1              P Kumar             0       0      0        0     0        0   \n",
       "2              P Kumar             0       1      1        0     0        0   \n",
       "3              P Kumar             0       0      0        0     0        0   \n",
       "4              P Kumar             0       0      0        0     0        0   \n",
       "...                ...           ...     ...    ...      ...   ...      ...   \n",
       "199917     RP Meredith             1       0      0        0     0        0   \n",
       "199918  Mohammed Shami             4       0      0        0     0        0   \n",
       "199919  Mohammed Shami             0       0      0        0     0        0   \n",
       "199920  Mohammed Shami             1       0      0        0     0        0   \n",
       "199921  Mohammed Shami             0       0      0        0     0        0   \n",
       "\n",
       "        penalty wicket_type player_dismissed  other_wicket_type  \\\n",
       "0             0         NaN              NaN                NaN   \n",
       "1             0         NaN              NaN                NaN   \n",
       "2             0         NaN              NaN                NaN   \n",
       "3             0         NaN              NaN                NaN   \n",
       "4             0         NaN              NaN                NaN   \n",
       "...         ...         ...              ...                ...   \n",
       "199917        0         NaN              NaN                NaN   \n",
       "199918        0         NaN              NaN                NaN   \n",
       "199919        0      caught         HV Patel                NaN   \n",
       "199920        0         NaN              NaN                NaN   \n",
       "199921        0         NaN              NaN                NaN   \n",
       "\n",
       "        other_player_dismissed  over number  ball number  is_dot_batsman  \\\n",
       "0                          NaN            1            1               1   \n",
       "1                          NaN            1            2               1   \n",
       "2                          NaN            1            3               1   \n",
       "3                          NaN            1            4               1   \n",
       "4                          NaN            1            5               1   \n",
       "...                        ...          ...          ...             ...   \n",
       "199917                     NaN           20            2               0   \n",
       "199918                     NaN           20            3               0   \n",
       "199919                     NaN           20            4               1   \n",
       "199920                     NaN           20            5               0   \n",
       "199921                     NaN           20            6               1   \n",
       "\n",
       "        bowler_runs  is_dot_bowler  is_wicket  is_four  is_six  is_boundary  \\\n",
       "0                 0              1          0        0       0            0   \n",
       "1                 0              1          0        0       0            0   \n",
       "2                 1              0          0        0       0            0   \n",
       "3                 0              1          0        0       0            0   \n",
       "4                 0              1          0        0       0            0   \n",
       "...             ...            ...        ...      ...     ...          ...   \n",
       "199917            1              0          0        0       0            0   \n",
       "199918            4              0          0        1       0            1   \n",
       "199919            0              1          1        0       0            0   \n",
       "199920            1              0          0        0       0            0   \n",
       "199921            0              1          0        0       0            0   \n",
       "\n",
       "        is_bowlers_wicket  \n",
       "0                       0  \n",
       "1                       0  \n",
       "2                       0  \n",
       "3                       0  \n",
       "4                       0  \n",
       "...                   ...  \n",
       "199917                  0  \n",
       "199918                  0  \n",
       "199919                  1  \n",
       "199920                  0  \n",
       "199921                  0  \n",
       "\n",
       "[199922 rows x 32 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "deliveries['over number'] = deliveries['ball'].apply(lambda x: int(np.ceil(x)))\n",
    "deliveries['ball number'] = deliveries['ball'].apply(lambda x: int(np.round((x%1)*10)))\n",
    "deliveries['wides'] = deliveries['wides'].apply(lambda x: int(x) if(x>0) else 0)\n",
    "deliveries['noballs'] = deliveries['noballs'].apply(lambda x: int(x) if(x>0) else 0)\n",
    "deliveries['legbyes'] = deliveries['legbyes'].apply(lambda x: int(x) if(x>0) else 0)\n",
    "deliveries['byes'] = deliveries['byes'].apply(lambda x: int(x) if(x>0) else 0)\n",
    "deliveries['penalty'] = deliveries['penalty'].apply(lambda x: int(x) if(x>0) else 0)\n",
    "deliveries['is_dot_batsman'] = deliveries['runs_off_bat'].apply(lambda x: 1 if (x==0) else 0)\n",
    "deliveries['bowler_runs'] = deliveries['runs_off_bat'] + deliveries['wides'] + deliveries['noballs']\n",
    "deliveries['is_dot_bowler'] = deliveries['bowler_runs'].apply(lambda x: 1 if(x==0) else 0)\n",
    "deliveries['is_wicket'] = deliveries['player_dismissed'].apply(lambda x: 1 if(type(x) == str) else 0)\n",
    "deliveries['is_four'] = deliveries['runs_off_bat'].apply(lambda x: 1 if(x==4) else 0)\n",
    "deliveries['is_six'] = deliveries['runs_off_bat'].apply(lambda x: 1 if(x==6) else 0)\n",
    "deliveries['is_boundary'] = deliveries['runs_off_bat'].apply(lambda x: 1 if(x==4 or x==6) else 0)\n",
    "deliveries['is_bowlers_wicket'] = deliveries['wicket_type'].apply(lambda x: 1 if(x in bowlers_wickets) else 0)\n",
    "deliveries\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "respective-registration",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>match_id</th>\n",
       "      <th>season</th>\n",
       "      <th>start_date</th>\n",
       "      <th>venue</th>\n",
       "      <th>innings</th>\n",
       "      <th>ball</th>\n",
       "      <th>batting_team</th>\n",
       "      <th>bowling_team</th>\n",
       "      <th>striker</th>\n",
       "      <th>non_striker</th>\n",
       "      <th>bowler</th>\n",
       "      <th>runs_off_bat</th>\n",
       "      <th>extras</th>\n",
       "      <th>wides</th>\n",
       "      <th>noballs</th>\n",
       "      <th>byes</th>\n",
       "      <th>legbyes</th>\n",
       "      <th>penalty</th>\n",
       "      <th>wicket_type</th>\n",
       "      <th>player_dismissed</th>\n",
       "      <th>other_wicket_type</th>\n",
       "      <th>other_player_dismissed</th>\n",
       "      <th>over number</th>\n",
       "      <th>ball number</th>\n",
       "      <th>is_dot_batsman</th>\n",
       "      <th>bowler_runs</th>\n",
       "      <th>is_dot_bowler</th>\n",
       "      <th>is_wicket</th>\n",
       "      <th>is_four</th>\n",
       "      <th>is_six</th>\n",
       "      <th>is_boundary</th>\n",
       "      <th>is_bowlers_wicket</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>179629</th>\n",
       "      <td>1216534</td>\n",
       "      <td>2020/21</td>\n",
       "      <td>2020-09-21</td>\n",
       "      <td>Dubai International Cricket Stadium</td>\n",
       "      <td>1</td>\n",
       "      <td>11.2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>AB de Villiers</td>\n",
       "      <td>V Kohli</td>\n",
       "      <td>Abhishek Sharma</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179630</th>\n",
       "      <td>1216534</td>\n",
       "      <td>2020/21</td>\n",
       "      <td>2020-09-21</td>\n",
       "      <td>Dubai International Cricket Stadium</td>\n",
       "      <td>1</td>\n",
       "      <td>11.3</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>AB de Villiers</td>\n",
       "      <td>V Kohli</td>\n",
       "      <td>Abhishek Sharma</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179633</th>\n",
       "      <td>1216534</td>\n",
       "      <td>2020/21</td>\n",
       "      <td>2020-09-21</td>\n",
       "      <td>Dubai International Cricket Stadium</td>\n",
       "      <td>1</td>\n",
       "      <td>11.6</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>AB de Villiers</td>\n",
       "      <td>V Kohli</td>\n",
       "      <td>Abhishek Sharma</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179634</th>\n",
       "      <td>1216534</td>\n",
       "      <td>2020/21</td>\n",
       "      <td>2020-09-21</td>\n",
       "      <td>Dubai International Cricket Stadium</td>\n",
       "      <td>1</td>\n",
       "      <td>12.1</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>AB de Villiers</td>\n",
       "      <td>V Kohli</td>\n",
       "      <td>Rashid Khan</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179636</th>\n",
       "      <td>1216534</td>\n",
       "      <td>2020/21</td>\n",
       "      <td>2020-09-21</td>\n",
       "      <td>Dubai International Cricket Stadium</td>\n",
       "      <td>1</td>\n",
       "      <td>12.3</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>AB de Villiers</td>\n",
       "      <td>V Kohli</td>\n",
       "      <td>Rashid Khan</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199867</th>\n",
       "      <td>1254083</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-04-30</td>\n",
       "      <td>Narendra Modi Stadium, Ahmedabad</td>\n",
       "      <td>2</td>\n",
       "      <td>11.2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Punjab Kings</td>\n",
       "      <td>AB de Villiers</td>\n",
       "      <td>RM Patidar</td>\n",
       "      <td>Ravi Bishnoi</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199869</th>\n",
       "      <td>1254083</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-04-30</td>\n",
       "      <td>Narendra Modi Stadium, Ahmedabad</td>\n",
       "      <td>2</td>\n",
       "      <td>11.4</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Punjab Kings</td>\n",
       "      <td>AB de Villiers</td>\n",
       "      <td>RM Patidar</td>\n",
       "      <td>Ravi Bishnoi</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199870</th>\n",
       "      <td>1254083</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-04-30</td>\n",
       "      <td>Narendra Modi Stadium, Ahmedabad</td>\n",
       "      <td>2</td>\n",
       "      <td>11.5</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Punjab Kings</td>\n",
       "      <td>AB de Villiers</td>\n",
       "      <td>RM Patidar</td>\n",
       "      <td>Ravi Bishnoi</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199872</th>\n",
       "      <td>1254083</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-04-30</td>\n",
       "      <td>Narendra Modi Stadium, Ahmedabad</td>\n",
       "      <td>2</td>\n",
       "      <td>11.7</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Punjab Kings</td>\n",
       "      <td>AB de Villiers</td>\n",
       "      <td>RM Patidar</td>\n",
       "      <td>Ravi Bishnoi</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199873</th>\n",
       "      <td>1254083</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-04-30</td>\n",
       "      <td>Narendra Modi Stadium, Ahmedabad</td>\n",
       "      <td>2</td>\n",
       "      <td>12.1</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Punjab Kings</td>\n",
       "      <td>AB de Villiers</td>\n",
       "      <td>RM Patidar</td>\n",
       "      <td>Harpreet Brar</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>caught</td>\n",
       "      <td>AB de Villiers</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>425 rows × 32 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        match_id   season  start_date                                venue  \\\n",
       "179629   1216534  2020/21  2020-09-21  Dubai International Cricket Stadium   \n",
       "179630   1216534  2020/21  2020-09-21  Dubai International Cricket Stadium   \n",
       "179633   1216534  2020/21  2020-09-21  Dubai International Cricket Stadium   \n",
       "179634   1216534  2020/21  2020-09-21  Dubai International Cricket Stadium   \n",
       "179636   1216534  2020/21  2020-09-21  Dubai International Cricket Stadium   \n",
       "...          ...      ...         ...                                  ...   \n",
       "199867   1254083     2021  2021-04-30     Narendra Modi Stadium, Ahmedabad   \n",
       "199869   1254083     2021  2021-04-30     Narendra Modi Stadium, Ahmedabad   \n",
       "199870   1254083     2021  2021-04-30     Narendra Modi Stadium, Ahmedabad   \n",
       "199872   1254083     2021  2021-04-30     Narendra Modi Stadium, Ahmedabad   \n",
       "199873   1254083     2021  2021-04-30     Narendra Modi Stadium, Ahmedabad   \n",
       "\n",
       "        innings  ball                 batting_team         bowling_team  \\\n",
       "179629        1  11.2  Royal Challengers Bangalore  Sunrisers Hyderabad   \n",
       "179630        1  11.3  Royal Challengers Bangalore  Sunrisers Hyderabad   \n",
       "179633        1  11.6  Royal Challengers Bangalore  Sunrisers Hyderabad   \n",
       "179634        1  12.1  Royal Challengers Bangalore  Sunrisers Hyderabad   \n",
       "179636        1  12.3  Royal Challengers Bangalore  Sunrisers Hyderabad   \n",
       "...         ...   ...                          ...                  ...   \n",
       "199867        2  11.2  Royal Challengers Bangalore         Punjab Kings   \n",
       "199869        2  11.4  Royal Challengers Bangalore         Punjab Kings   \n",
       "199870        2  11.5  Royal Challengers Bangalore         Punjab Kings   \n",
       "199872        2  11.7  Royal Challengers Bangalore         Punjab Kings   \n",
       "199873        2  12.1  Royal Challengers Bangalore         Punjab Kings   \n",
       "\n",
       "               striker non_striker           bowler  runs_off_bat  extras  \\\n",
       "179629  AB de Villiers     V Kohli  Abhishek Sharma             0       0   \n",
       "179630  AB de Villiers     V Kohli  Abhishek Sharma             1       0   \n",
       "179633  AB de Villiers     V Kohli  Abhishek Sharma             1       0   \n",
       "179634  AB de Villiers     V Kohli      Rashid Khan             1       0   \n",
       "179636  AB de Villiers     V Kohli      Rashid Khan             1       0   \n",
       "...                ...         ...              ...           ...     ...   \n",
       "199867  AB de Villiers  RM Patidar     Ravi Bishnoi             1       0   \n",
       "199869  AB de Villiers  RM Patidar     Ravi Bishnoi             0       0   \n",
       "199870  AB de Villiers  RM Patidar     Ravi Bishnoi             1       0   \n",
       "199872  AB de Villiers  RM Patidar     Ravi Bishnoi             1       0   \n",
       "199873  AB de Villiers  RM Patidar    Harpreet Brar             0       0   \n",
       "\n",
       "        wides  noballs  byes  legbyes  penalty wicket_type player_dismissed  \\\n",
       "179629      0        0     0        0        0         NaN              NaN   \n",
       "179630      0        0     0        0        0         NaN              NaN   \n",
       "179633      0        0     0        0        0         NaN              NaN   \n",
       "179634      0        0     0        0        0         NaN              NaN   \n",
       "179636      0        0     0        0        0         NaN              NaN   \n",
       "...       ...      ...   ...      ...      ...         ...              ...   \n",
       "199867      0        0     0        0        0         NaN              NaN   \n",
       "199869      0        0     0        0        0         NaN              NaN   \n",
       "199870      0        0     0        0        0         NaN              NaN   \n",
       "199872      0        0     0        0        0         NaN              NaN   \n",
       "199873      0        0     0        0        0      caught   AB de Villiers   \n",
       "\n",
       "        other_wicket_type  other_player_dismissed  over number  ball number  \\\n",
       "179629                NaN                     NaN           12            2   \n",
       "179630                NaN                     NaN           12            3   \n",
       "179633                NaN                     NaN           12            6   \n",
       "179634                NaN                     NaN           13            1   \n",
       "179636                NaN                     NaN           13            3   \n",
       "...                   ...                     ...          ...          ...   \n",
       "199867                NaN                     NaN           12            2   \n",
       "199869                NaN                     NaN           12            4   \n",
       "199870                NaN                     NaN           12            5   \n",
       "199872                NaN                     NaN           12            7   \n",
       "199873                NaN                     NaN           13            1   \n",
       "\n",
       "        is_dot_batsman  bowler_runs  is_dot_bowler  is_wicket  is_four  \\\n",
       "179629               1            0              1          0        0   \n",
       "179630               0            1              0          0        0   \n",
       "179633               0            1              0          0        0   \n",
       "179634               0            1              0          0        0   \n",
       "179636               0            1              0          0        0   \n",
       "...                ...          ...            ...        ...      ...   \n",
       "199867               0            1              0          0        0   \n",
       "199869               1            0              1          0        0   \n",
       "199870               0            1              0          0        0   \n",
       "199872               0            1              0          0        0   \n",
       "199873               1            0              1          1        0   \n",
       "\n",
       "        is_six  is_boundary  is_bowlers_wicket  \n",
       "179629       0            0                  0  \n",
       "179630       0            0                  0  \n",
       "179633       0            0                  0  \n",
       "179634       0            0                  0  \n",
       "179636       0            0                  0  \n",
       "...        ...          ...                ...  \n",
       "199867       0            0                  0  \n",
       "199869       0            0                  0  \n",
       "199870       0            0                  0  \n",
       "199872       0            0                  0  \n",
       "199873       0            0                  1  \n",
       "\n",
       "[425 rows x 32 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "abd = deliveries[deliveries['striker'] == 'AB de Villiers']\n",
    "abd_post2019 = abd[abd['start_date'] > '2019-12-31']\n",
    "abd_post2019"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "hidden-wrist",
   "metadata": {},
   "outputs": [],
   "source": [
    "def average(runs, wickets):\n",
    "    return runs/wickets\n",
    "    \n",
    "def sr(balls, runs):\n",
    "    return runs/balls*100\n",
    "    \n",
    "def rpi(innings, runs):\n",
    "    return runs/innings\n",
    "    \n",
    "def dot_p(balls, dots):\n",
    "    return dots/balls*100\n",
    "    \n",
    "def bpb(balls, boundaries):\n",
    "    return balls/boundaries\n",
    "\n",
    "def bpd(balls, wickets):\n",
    "    return balls/wickets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "seven-superior",
   "metadata": {},
   "outputs": [],
   "source": [
    "def batsman_stats(df):\n",
    "    \n",
    "    innings = pd.DataFrame(df.groupby('innings')['match_id'].nunique())\n",
    "    balls = pd.DataFrame(df.groupby('innings')['ball'].count())\n",
    "    wides = pd.DataFrame(df.groupby('innings')['wides'].sum())\n",
    "    balls = balls.merge(wides, on='innings') \n",
    "    balls['ball'] = balls['ball'] - balls['wides']\n",
    "    balls.drop(['wides'], axis = 1, inplace=True)\n",
    "    balls.columns = ['Balls Faced']\n",
    "    \n",
    "    runs =  pd.DataFrame(df.groupby('innings')['runs_off_bat'].sum())\n",
    "    dismissals = pd.DataFrame(df[df['player_dismissed'] == 'AB de Villiers'].groupby('innings')['is_wicket'].sum())\n",
    "    dots = pd.DataFrame(df.groupby('innings')['is_dot_batsman'].sum())\n",
    "    dots = dots.merge(wides, on='innings') \n",
    "    dots['is_dot_batsman'] = dots['is_dot_batsman'] - dots['wides']\n",
    "    dots.drop(['wides'], axis = 1, inplace=True)\n",
    "    fours = pd.DataFrame(df.groupby('innings')['is_four'].sum())\n",
    "    sixes = pd.DataFrame(df.groupby('innings')['is_six'].sum())\n",
    "    boundaries = pd.DataFrame(df.groupby('innings')['is_boundary'].sum())\n",
    "\n",
    "    abd_innings_wise = innings.merge(balls, on='innings').merge(runs, on='innings').merge(dismissals, on='innings').merge(dots, on='innings').merge(fours, on='innings').merge(sixes, on='innings').merge(boundaries, on='innings')\n",
    "    abd_innings_wise.columns = ['Innings', 'Balls Faced', 'Runs', 'Dismissals', 'Dots', 'Fours', 'Sixes', 'Boundaries']\n",
    "    \n",
    "    abd_innings_wise['Average'] = abd_innings_wise.apply(lambda x: (average(x['Runs'], x['Dismissals'])), axis=1)\n",
    "    abd_innings_wise['Strike Rate'] = abd_innings_wise.apply(lambda x: (sr(x['Balls Faced'], x['Runs'])), axis=1)\n",
    "    abd_innings_wise['Runs Per Innings'] = abd_innings_wise.apply(lambda x: (rpi(x['Innings'], x['Runs'])), axis=1)\n",
    "    abd_innings_wise['Dot%'] = abd_innings_wise.apply(lambda x: (dot_p(x['Balls Faced'], x['Dots'])), axis=1)\n",
    "    abd_innings_wise['Balls Per Boundary'] = abd_innings_wise.apply(lambda x: (bpb(x['Balls Faced'], x['Boundaries'])), axis=1)\n",
    "    abd_innings_wise['Ball Per Dismissal'] = abd_innings_wise.apply(lambda x: (bpd(x['Balls Faced'], x['Dismissals'])), axis=1)\n",
    "\n",
    "    abd_innings_wise = abd_innings_wise.round(decimals=2)\n",
    "    return abd_innings_wise"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "published-qualification",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "prostate-campbell",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>season</th>\n",
       "      <th>id</th>\n",
       "      <th>name</th>\n",
       "      <th>short_name</th>\n",
       "      <th>description</th>\n",
       "      <th>home_team</th>\n",
       "      <th>away_team</th>\n",
       "      <th>toss_won</th>\n",
       "      <th>decision</th>\n",
       "      <th>1st_inning_score</th>\n",
       "      <th>2nd_inning_score</th>\n",
       "      <th>home_score</th>\n",
       "      <th>away_score</th>\n",
       "      <th>winner</th>\n",
       "      <th>result</th>\n",
       "      <th>start_date</th>\n",
       "      <th>end_date</th>\n",
       "      <th>venue_id</th>\n",
       "      <th>venue_name</th>\n",
       "      <th>home_captain</th>\n",
       "      <th>away_captain</th>\n",
       "      <th>pom</th>\n",
       "      <th>points</th>\n",
       "      <th>super_over</th>\n",
       "      <th>home_overs</th>\n",
       "      <th>home_runs</th>\n",
       "      <th>home_wickets</th>\n",
       "      <th>home_boundaries</th>\n",
       "      <th>away_overs</th>\n",
       "      <th>away_runs</th>\n",
       "      <th>away_wickets</th>\n",
       "      <th>away_boundaries</th>\n",
       "      <th>highlights</th>\n",
       "      <th>home_key_batsman</th>\n",
       "      <th>home_key_bowler</th>\n",
       "      <th>home_playx1</th>\n",
       "      <th>away_playx1</th>\n",
       "      <th>away_key_batsman</th>\n",
       "      <th>away_key_bowler</th>\n",
       "      <th>match_days</th>\n",
       "      <th>umpire1</th>\n",
       "      <th>umpire2</th>\n",
       "      <th>tv_umpire</th>\n",
       "      <th>referee</th>\n",
       "      <th>reserve_umpire</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020</td>\n",
       "      <td>1216492</td>\n",
       "      <td>Mumbai Indians v Chennai Super Kings</td>\n",
       "      <td>MI v CSK</td>\n",
       "      <td>1st Match (N), Indian Premier League at Abu Dh...</td>\n",
       "      <td>MI</td>\n",
       "      <td>CSK</td>\n",
       "      <td>CSK</td>\n",
       "      <td>BOWL FIRST</td>\n",
       "      <td>162/9</td>\n",
       "      <td>166/5</td>\n",
       "      <td>162/9</td>\n",
       "      <td>166/5</td>\n",
       "      <td>CSK</td>\n",
       "      <td>Super Kings won by 5 wickets</td>\n",
       "      <td>2020-09-19T14:00Z</td>\n",
       "      <td>2020-09-21T23:59Z</td>\n",
       "      <td>59396</td>\n",
       "      <td>Sheikh Zayed Stadium, Abu Dhabi</td>\n",
       "      <td>Rohit Sharma</td>\n",
       "      <td>MS Dhoni</td>\n",
       "      <td>Ambati Rayudu</td>\n",
       "      <td>Chennai Super Kings 2, Mumbai Indians 0</td>\n",
       "      <td>False</td>\n",
       "      <td>20.0</td>\n",
       "      <td>162.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>19.2</td>\n",
       "      <td>166.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>Ambati Rayudu, Faf du Plessis help CSK break M...</td>\n",
       "      <td>Saurabh Tiwary,Quinton de Kock</td>\n",
       "      <td>James Pattinson,Trent Boult</td>\n",
       "      <td>Rohit Sharma (BT),Quinton de Kock (WK),Suryaku...</td>\n",
       "      <td>Murali Vijay (BT),Shane Watson (AR),Faf du Ple...</td>\n",
       "      <td>Ambati Rayudu,Faf du Plessis</td>\n",
       "      <td>Lungi Ngidi,Deepak Chahar</td>\n",
       "      <td>19 September 2020 - night match (20-over match)</td>\n",
       "      <td>Chris Gaffaney</td>\n",
       "      <td>Virender Sharma</td>\n",
       "      <td>Sundaram Ravi</td>\n",
       "      <td>Manu Nayyar</td>\n",
       "      <td>Ulhas Gandhe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020</td>\n",
       "      <td>1216493</td>\n",
       "      <td>Delhi Capitals v Kings XI Punjab</td>\n",
       "      <td>DC v KXIP</td>\n",
       "      <td>2nd Match (N), Indian Premier League at Dubai ...</td>\n",
       "      <td>DC</td>\n",
       "      <td>KXIP</td>\n",
       "      <td>KXIP</td>\n",
       "      <td>BOWL FIRST</td>\n",
       "      <td>157/8</td>\n",
       "      <td>157/8</td>\n",
       "      <td>157/8</td>\n",
       "      <td>157/8</td>\n",
       "      <td>DC</td>\n",
       "      <td>Match tied (Delhi Capitals won the one-over el...</td>\n",
       "      <td>2020-09-20T14:00Z</td>\n",
       "      <td>2020-09-22T23:59Z</td>\n",
       "      <td>392627</td>\n",
       "      <td>Dubai International Cricket Stadium</td>\n",
       "      <td>Shreyas Iyer</td>\n",
       "      <td>KL Rahul</td>\n",
       "      <td>Marcus Stoinis</td>\n",
       "      <td>Delhi Capitals 2, Kings XI Punjab 0</td>\n",
       "      <td>True</td>\n",
       "      <td>20.0</td>\n",
       "      <td>157.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>157.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>Delhi Capitals claim Super-Over win after Marc...</td>\n",
       "      <td>Marcus Stoinis,Shreyas Iyer</td>\n",
       "      <td>Ravichandran Ashwin,Kagiso Rabada</td>\n",
       "      <td>Prithvi Shaw (BT),Shikhar Dhawan (BT),Shimron ...</td>\n",
       "      <td>KL Rahul (WK),Mayank Agarwal (BT),Karun Nair (...</td>\n",
       "      <td>Mayank Agarwal,KL Rahul</td>\n",
       "      <td>Mohammed Shami,Sheldon Cottrell</td>\n",
       "      <td>20 September 2020 - night match (20-over match)</td>\n",
       "      <td>Anil Chaudhary</td>\n",
       "      <td>Nitin Menon</td>\n",
       "      <td>Paul Reiffel</td>\n",
       "      <td>Javagal Srinath</td>\n",
       "      <td>Yeshwant Barde</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020</td>\n",
       "      <td>1216534</td>\n",
       "      <td>Sunrisers Hyderabad v Royal Challengers Bangalore</td>\n",
       "      <td>SRH v RCB</td>\n",
       "      <td>3rd Match (N), Indian Premier League at Dubai ...</td>\n",
       "      <td>SRH</td>\n",
       "      <td>RCB</td>\n",
       "      <td>SRH</td>\n",
       "      <td>BOWL FIRST</td>\n",
       "      <td>163/5</td>\n",
       "      <td>153</td>\n",
       "      <td>153</td>\n",
       "      <td>163/5</td>\n",
       "      <td>RCB</td>\n",
       "      <td>RCB won by 10 runs</td>\n",
       "      <td>2020-09-21T14:00Z</td>\n",
       "      <td>2020-09-23T23:59Z</td>\n",
       "      <td>392627</td>\n",
       "      <td>Dubai International Cricket Stadium</td>\n",
       "      <td>David Warner</td>\n",
       "      <td>Virat Kohli</td>\n",
       "      <td>Yuzvendra Chahal</td>\n",
       "      <td>Royal Challengers Bangalore 2, Sunrisers Hyder...</td>\n",
       "      <td>False</td>\n",
       "      <td>19.4</td>\n",
       "      <td>153.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>163.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>Yuzvendra Chahal three-for, Sunrisers Hyderaba...</td>\n",
       "      <td>Jonny Bairstow,Manish Pandey</td>\n",
       "      <td>Abhishek Sharma,Vijay Shankar</td>\n",
       "      <td>David Warner (BT),Jonny Bairstow (WK),Manish P...</td>\n",
       "      <td>Devdutt Padikkal (BT),Aaron Finch (BT),Virat K...</td>\n",
       "      <td>Devdutt Padikkal,AB de Villiers</td>\n",
       "      <td>Yuzvendra Chahal,Shivam Dube</td>\n",
       "      <td>21 September 2020 - night match (20-over match)</td>\n",
       "      <td>Anil Dandekar</td>\n",
       "      <td>Nitin Menon</td>\n",
       "      <td>Anil Chaudhary</td>\n",
       "      <td>Prakash Bhatt</td>\n",
       "      <td>Yeshwant Barde</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020</td>\n",
       "      <td>1216496</td>\n",
       "      <td>Rajasthan Royals v Chennai Super Kings</td>\n",
       "      <td>RR v CSK</td>\n",
       "      <td>4th Match (N), Indian Premier League at Sharja...</td>\n",
       "      <td>RR</td>\n",
       "      <td>CSK</td>\n",
       "      <td>CSK</td>\n",
       "      <td>BOWL FIRST</td>\n",
       "      <td>216/7</td>\n",
       "      <td>200/6</td>\n",
       "      <td>216/7</td>\n",
       "      <td>200/6</td>\n",
       "      <td>RR</td>\n",
       "      <td>Royals won by 16 runs</td>\n",
       "      <td>2020-09-22T14:00Z</td>\n",
       "      <td>2020-09-24T23:59Z</td>\n",
       "      <td>59392</td>\n",
       "      <td>Sharjah Cricket Stadium</td>\n",
       "      <td>Steven Smith</td>\n",
       "      <td>MS Dhoni</td>\n",
       "      <td>Sanju Samson</td>\n",
       "      <td>Rajasthan Royals 2, Chennai Super Kings 0</td>\n",
       "      <td>False</td>\n",
       "      <td>20.0</td>\n",
       "      <td>216.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>Sanju Samson, Steven Smith, Jofra Archer help ...</td>\n",
       "      <td>Sanju Samson,Steven Smith</td>\n",
       "      <td>Rahul Tewatia,Jofra Archer</td>\n",
       "      <td>Yashasvi Jaiswal (BT),Steven Smith (BT),Sanju ...</td>\n",
       "      <td>Murali Vijay (BT),Shane Watson (AR),Faf du Ple...</td>\n",
       "      <td>Faf du Plessis,Shane Watson</td>\n",
       "      <td>Sam Curran,Deepak Chahar</td>\n",
       "      <td>22 September 2020 - night match (20-over match)</td>\n",
       "      <td>Chettithody Shamshuddin</td>\n",
       "      <td>Vineet Kulkarni</td>\n",
       "      <td>KN Ananthapadmanabhan</td>\n",
       "      <td>Vengalil Narayan Kutty</td>\n",
       "      <td>Krishnamachari Srinivasan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020</td>\n",
       "      <td>1216508</td>\n",
       "      <td>Kolkata Knight Riders v Mumbai Indians</td>\n",
       "      <td>KKR v MI</td>\n",
       "      <td>5th Match (N), Indian Premier League at Abu Dh...</td>\n",
       "      <td>KKR</td>\n",
       "      <td>MI</td>\n",
       "      <td>KKR</td>\n",
       "      <td>BOWL FIRST</td>\n",
       "      <td>195/5</td>\n",
       "      <td>146/9</td>\n",
       "      <td>146/9</td>\n",
       "      <td>195/5</td>\n",
       "      <td>MI</td>\n",
       "      <td>Mum Indians won by 49 runs</td>\n",
       "      <td>2020-09-23T14:00Z</td>\n",
       "      <td>2020-09-25T23:59Z</td>\n",
       "      <td>59396</td>\n",
       "      <td>Sheikh Zayed Stadium, Abu Dhabi</td>\n",
       "      <td>Dinesh Karthik</td>\n",
       "      <td>Rohit Sharma</td>\n",
       "      <td>Rohit Sharma</td>\n",
       "      <td>Mumbai Indians 2, Kolkata Knight Riders 0</td>\n",
       "      <td>False</td>\n",
       "      <td>20.0</td>\n",
       "      <td>146.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>195.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>Rohit Sharma and Jasprit Bumrah's heroics take...</td>\n",
       "      <td>Pat Cummins,Dinesh Karthik</td>\n",
       "      <td>Shivam Mavi,Andre Russell</td>\n",
       "      <td>Shubman Gill (BT),Sunil Narine (AR),Dinesh Kar...</td>\n",
       "      <td>Quinton de Kock (WK),Rohit Sharma (BT),Suryaku...</td>\n",
       "      <td>Rohit Sharma,Suryakumar Yadav</td>\n",
       "      <td>James Pattinson,Rahul Chahar</td>\n",
       "      <td>23 September 2020 - night match (20-over match)</td>\n",
       "      <td>Chris Gaffaney</td>\n",
       "      <td>Sundaram Ravi</td>\n",
       "      <td>Virender Sharma</td>\n",
       "      <td>Manu Nayyar</td>\n",
       "      <td>Pashchim Pathak</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>819</th>\n",
       "      <td>2008</td>\n",
       "      <td>336012</td>\n",
       "      <td>Royal Challengers Bangalore v Mumbai Indians</td>\n",
       "      <td>RCB v MI</td>\n",
       "      <td>55th match (D/N), Indian Premier League at Ben...</td>\n",
       "      <td>RCB</td>\n",
       "      <td>MI</td>\n",
       "      <td>MI</td>\n",
       "      <td>BOWL FIRST</td>\n",
       "      <td>122/9</td>\n",
       "      <td>126/1</td>\n",
       "      <td>122/9</td>\n",
       "      <td>126/1</td>\n",
       "      <td>MI</td>\n",
       "      <td>Mum Indians won by 9 wickets (with 12 balls re...</td>\n",
       "      <td>2008-05-28T10:30Z</td>\n",
       "      <td>2008-05-30T23:59Z</td>\n",
       "      <td>57897</td>\n",
       "      <td>M.Chinnaswamy Stadium, Bengaluru</td>\n",
       "      <td>Rahul Dravid</td>\n",
       "      <td>Sachin Tendulkar</td>\n",
       "      <td>Dilhara Fernando</td>\n",
       "      <td>Mumbai Indians 2, Royal Challengers Bangalore 0</td>\n",
       "      <td>False</td>\n",
       "      <td>18.0</td>\n",
       "      <td>122.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>Mumbai end IPL campaign with easy win. Mumbai ...</td>\n",
       "      <td>Cameron White,Vinay Kumar</td>\n",
       "      <td>Dale Steyn,Balachandra Akhil</td>\n",
       "      <td>Mark Boucher (BT),Shreevats Goswami (WK),Misba...</td>\n",
       "      <td>Sanath Jayasuriya (AR),Sachin Tendulkar (BT),R...</td>\n",
       "      <td>Sanath Jayasuriya,Sachin Tendulkar</td>\n",
       "      <td>Dilhara Fernando,Dwayne Smith</td>\n",
       "      <td>28 May 2008 - day/night match (20-over match)</td>\n",
       "      <td>Billy Bowden</td>\n",
       "      <td>Arani Jayaprakash</td>\n",
       "      <td>Billy Doctrove</td>\n",
       "      <td>Sir Clive Lloyd</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>820</th>\n",
       "      <td>2008</td>\n",
       "      <td>336019</td>\n",
       "      <td>Kings XI Punjab v Rajasthan Royals</td>\n",
       "      <td>KXIP v RR</td>\n",
       "      <td>56th match (N), Indian Premier League at Mohal...</td>\n",
       "      <td>KXIP</td>\n",
       "      <td>RR</td>\n",
       "      <td>RR</td>\n",
       "      <td>BOWL FIRST</td>\n",
       "      <td>221/3</td>\n",
       "      <td>180/7</td>\n",
       "      <td>221/3</td>\n",
       "      <td>180/7</td>\n",
       "      <td>KXIP</td>\n",
       "      <td>Kings XI won by 41 runs</td>\n",
       "      <td>2008-05-28T14:30Z</td>\n",
       "      <td>2008-05-30T23:59Z</td>\n",
       "      <td>57991</td>\n",
       "      <td>Punjab Cricket Association IS Bindra Stadium, ...</td>\n",
       "      <td>Yuvraj Singh</td>\n",
       "      <td>Shane Watson</td>\n",
       "      <td>Shaun Marsh</td>\n",
       "      <td>Kings XI Punjab 2, Rajasthan Royals 0</td>\n",
       "      <td>False</td>\n",
       "      <td>20.0</td>\n",
       "      <td>221.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>180.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>Marsh century conquers Rajasthan. Kings XI Pun...</td>\n",
       "      <td>Shaun Marsh,James Hopes</td>\n",
       "      <td>Piyush Chawla,James Hopes</td>\n",
       "      <td>Shaun Marsh (BT),James Hopes (AR),Yuvraj Singh...</td>\n",
       "      <td>Mohammad Kaif (BT),Niraj Patel (UKN),Younis Kh...</td>\n",
       "      <td>Niraj Patel,Yusuf Pathan</td>\n",
       "      <td>Shane Watson,Yusuf Pathan</td>\n",
       "      <td>28 May 2008 - night match (20-over match)</td>\n",
       "      <td>Krishna Hariharan</td>\n",
       "      <td>Steve Davis</td>\n",
       "      <td>Daryl Harper</td>\n",
       "      <td>Srinivas Venkataraghavan</td>\n",
       "      <td>MS Mahal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>821</th>\n",
       "      <td>2008</td>\n",
       "      <td>336038</td>\n",
       "      <td>Delhi Daredevils v Rajasthan Royals</td>\n",
       "      <td>DC v RR</td>\n",
       "      <td>1st Semi-Final (N), Indian Premier League at M...</td>\n",
       "      <td>DC</td>\n",
       "      <td>RR</td>\n",
       "      <td>DC</td>\n",
       "      <td>BOWL FIRST</td>\n",
       "      <td>192/9</td>\n",
       "      <td>87</td>\n",
       "      <td>87</td>\n",
       "      <td>192/9</td>\n",
       "      <td>RR</td>\n",
       "      <td>Royals won by 105 runs</td>\n",
       "      <td>2008-05-30T14:30Z</td>\n",
       "      <td>2008-06-01T23:59Z</td>\n",
       "      <td>58324</td>\n",
       "      <td>Wankhede Stadium, Mumbai</td>\n",
       "      <td>Virender Sehwag</td>\n",
       "      <td>Shane Warne</td>\n",
       "      <td>Shane Watson</td>\n",
       "      <td>None</td>\n",
       "      <td>False</td>\n",
       "      <td>16.1</td>\n",
       "      <td>87.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>192.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>Watson helps Rajasthan march into final. This ...</td>\n",
       "      <td>Tillakaratne Dilshan,Gautam Gambhir</td>\n",
       "      <td>Farveez Maharoof,Amit Mishra</td>\n",
       "      <td>Gautam Gambhir (BT),Virender Sehwag (BT),Shikh...</td>\n",
       "      <td>Graeme Smith (BT),Swapnil Asnodkar (BT),Sohail...</td>\n",
       "      <td>Shane Watson,Yusuf Pathan</td>\n",
       "      <td>Shane Watson,Munaf Patel</td>\n",
       "      <td>30 May 2008 - night match (20-over match)</td>\n",
       "      <td>Billy Bowden</td>\n",
       "      <td>Rudi Koertzen</td>\n",
       "      <td>Billy Doctrove</td>\n",
       "      <td>Javagal Srinath</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>822</th>\n",
       "      <td>2008</td>\n",
       "      <td>336039</td>\n",
       "      <td>Chennai Super Kings v Kings XI Punjab</td>\n",
       "      <td>CSK v KXIP</td>\n",
       "      <td>2nd Semi-Final (N), Indian Premier League at M...</td>\n",
       "      <td>CSK</td>\n",
       "      <td>KXIP</td>\n",
       "      <td>KXIP</td>\n",
       "      <td>BAT FIRST</td>\n",
       "      <td>112/8</td>\n",
       "      <td>116/1</td>\n",
       "      <td>116/1</td>\n",
       "      <td>112/8</td>\n",
       "      <td>CSK</td>\n",
       "      <td>Super Kings won by 9 wickets (with 31 balls re...</td>\n",
       "      <td>2008-05-31T14:30Z</td>\n",
       "      <td>2008-06-02T23:59Z</td>\n",
       "      <td>58324</td>\n",
       "      <td>Wankhede Stadium, Mumbai</td>\n",
       "      <td>MS Dhoni</td>\n",
       "      <td>Yuvraj Singh</td>\n",
       "      <td>Makhaya Ntini</td>\n",
       "      <td>None</td>\n",
       "      <td>False</td>\n",
       "      <td>14.5</td>\n",
       "      <td>116.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>Inspired Chennai send Punjab packing. An inspi...</td>\n",
       "      <td>Suresh Raina,Parthiv Patel</td>\n",
       "      <td>Manpreet Gony,Makhaya Ntini</td>\n",
       "      <td>Parthiv Patel (WK),Vidyut Sivaramakrishnan (UK...</td>\n",
       "      <td>Shaun Marsh (BT),James Hopes (AR),Kumar Sangak...</td>\n",
       "      <td>Ramesh Powar,Wilkin Mota</td>\n",
       "      <td>Irfan Pathan,Vikram Singh</td>\n",
       "      <td>31 May 2008 - night match (20-over match)</td>\n",
       "      <td>Asad Rauf</td>\n",
       "      <td>Daryl Harper</td>\n",
       "      <td>Krishna Hariharan</td>\n",
       "      <td>Srinivas Venkataraghavan</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>823</th>\n",
       "      <td>2008</td>\n",
       "      <td>336040</td>\n",
       "      <td>Chennai Super Kings v Rajasthan Royals</td>\n",
       "      <td>CSK v RR</td>\n",
       "      <td>Final (N), Indian Premier League at Mumbai, Ju...</td>\n",
       "      <td>CSK</td>\n",
       "      <td>RR</td>\n",
       "      <td>RR</td>\n",
       "      <td>BOWL FIRST</td>\n",
       "      <td>163/5</td>\n",
       "      <td>164/7</td>\n",
       "      <td>163/5</td>\n",
       "      <td>164/7</td>\n",
       "      <td>RR</td>\n",
       "      <td>Royals won by 3 wickets (with 0 balls remaining)</td>\n",
       "      <td>2008-06-01T14:45Z</td>\n",
       "      <td>2008-06-03T23:59Z</td>\n",
       "      <td>343050</td>\n",
       "      <td>Dr DY Patil Sports Academy, Mumbai</td>\n",
       "      <td>MS Dhoni</td>\n",
       "      <td>Shane Warne</td>\n",
       "      <td>Yusuf Pathan</td>\n",
       "      <td>None</td>\n",
       "      <td>False</td>\n",
       "      <td>20.0</td>\n",
       "      <td>163.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>164.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>Rajasthan champions after cliffhanger. League ...</td>\n",
       "      <td>Suresh Raina,Parthiv Patel</td>\n",
       "      <td>Albie Morkel,Muttiah Muralitharan</td>\n",
       "      <td>Parthiv Patel (WK),Vidyut Sivaramakrishnan (UK...</td>\n",
       "      <td>Niraj Patel (UKN),Swapnil Asnodkar (BT),Kamran...</td>\n",
       "      <td>Yusuf Pathan,Swapnil Asnodkar</td>\n",
       "      <td>Yusuf Pathan,Shane Watson</td>\n",
       "      <td>1 June 2008 - night match (20-over match)</td>\n",
       "      <td>Billy Bowden</td>\n",
       "      <td>Rudi Koertzen</td>\n",
       "      <td>Daryl Harper</td>\n",
       "      <td>Javagal Srinath</td>\n",
       "      <td>MR Singh</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>824 rows × 45 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     season       id                                               name  \\\n",
       "0      2020  1216492               Mumbai Indians v Chennai Super Kings   \n",
       "1      2020  1216493                   Delhi Capitals v Kings XI Punjab   \n",
       "2      2020  1216534  Sunrisers Hyderabad v Royal Challengers Bangalore   \n",
       "3      2020  1216496             Rajasthan Royals v Chennai Super Kings   \n",
       "4      2020  1216508             Kolkata Knight Riders v Mumbai Indians   \n",
       "..      ...      ...                                                ...   \n",
       "819    2008   336012       Royal Challengers Bangalore v Mumbai Indians   \n",
       "820    2008   336019                 Kings XI Punjab v Rajasthan Royals   \n",
       "821    2008   336038                Delhi Daredevils v Rajasthan Royals   \n",
       "822    2008   336039              Chennai Super Kings v Kings XI Punjab   \n",
       "823    2008   336040             Chennai Super Kings v Rajasthan Royals   \n",
       "\n",
       "     short_name                                        description home_team  \\\n",
       "0      MI v CSK  1st Match (N), Indian Premier League at Abu Dh...        MI   \n",
       "1     DC v KXIP  2nd Match (N), Indian Premier League at Dubai ...        DC   \n",
       "2     SRH v RCB  3rd Match (N), Indian Premier League at Dubai ...       SRH   \n",
       "3      RR v CSK  4th Match (N), Indian Premier League at Sharja...        RR   \n",
       "4      KKR v MI  5th Match (N), Indian Premier League at Abu Dh...       KKR   \n",
       "..          ...                                                ...       ...   \n",
       "819    RCB v MI  55th match (D/N), Indian Premier League at Ben...       RCB   \n",
       "820   KXIP v RR  56th match (N), Indian Premier League at Mohal...      KXIP   \n",
       "821     DC v RR  1st Semi-Final (N), Indian Premier League at M...        DC   \n",
       "822  CSK v KXIP  2nd Semi-Final (N), Indian Premier League at M...       CSK   \n",
       "823    CSK v RR  Final (N), Indian Premier League at Mumbai, Ju...       CSK   \n",
       "\n",
       "    away_team toss_won    decision 1st_inning_score 2nd_inning_score  \\\n",
       "0         CSK      CSK  BOWL FIRST            162/9            166/5   \n",
       "1        KXIP     KXIP  BOWL FIRST            157/8            157/8   \n",
       "2         RCB      SRH  BOWL FIRST            163/5              153   \n",
       "3         CSK      CSK  BOWL FIRST            216/7            200/6   \n",
       "4          MI      KKR  BOWL FIRST            195/5            146/9   \n",
       "..        ...      ...         ...              ...              ...   \n",
       "819        MI       MI  BOWL FIRST            122/9            126/1   \n",
       "820        RR       RR  BOWL FIRST            221/3            180/7   \n",
       "821        RR       DC  BOWL FIRST            192/9               87   \n",
       "822      KXIP     KXIP   BAT FIRST            112/8            116/1   \n",
       "823        RR       RR  BOWL FIRST            163/5            164/7   \n",
       "\n",
       "    home_score away_score winner  \\\n",
       "0        162/9      166/5    CSK   \n",
       "1        157/8      157/8     DC   \n",
       "2          153      163/5    RCB   \n",
       "3        216/7      200/6     RR   \n",
       "4        146/9      195/5     MI   \n",
       "..         ...        ...    ...   \n",
       "819      122/9      126/1     MI   \n",
       "820      221/3      180/7   KXIP   \n",
       "821         87      192/9     RR   \n",
       "822      116/1      112/8    CSK   \n",
       "823      163/5      164/7     RR   \n",
       "\n",
       "                                                result         start_date  \\\n",
       "0                         Super Kings won by 5 wickets  2020-09-19T14:00Z   \n",
       "1    Match tied (Delhi Capitals won the one-over el...  2020-09-20T14:00Z   \n",
       "2                                   RCB won by 10 runs  2020-09-21T14:00Z   \n",
       "3                                Royals won by 16 runs  2020-09-22T14:00Z   \n",
       "4                           Mum Indians won by 49 runs  2020-09-23T14:00Z   \n",
       "..                                                 ...                ...   \n",
       "819  Mum Indians won by 9 wickets (with 12 balls re...  2008-05-28T10:30Z   \n",
       "820                            Kings XI won by 41 runs  2008-05-28T14:30Z   \n",
       "821                             Royals won by 105 runs  2008-05-30T14:30Z   \n",
       "822  Super Kings won by 9 wickets (with 31 balls re...  2008-05-31T14:30Z   \n",
       "823   Royals won by 3 wickets (with 0 balls remaining)  2008-06-01T14:45Z   \n",
       "\n",
       "              end_date  venue_id  \\\n",
       "0    2020-09-21T23:59Z     59396   \n",
       "1    2020-09-22T23:59Z    392627   \n",
       "2    2020-09-23T23:59Z    392627   \n",
       "3    2020-09-24T23:59Z     59392   \n",
       "4    2020-09-25T23:59Z     59396   \n",
       "..                 ...       ...   \n",
       "819  2008-05-30T23:59Z     57897   \n",
       "820  2008-05-30T23:59Z     57991   \n",
       "821  2008-06-01T23:59Z     58324   \n",
       "822  2008-06-02T23:59Z     58324   \n",
       "823  2008-06-03T23:59Z    343050   \n",
       "\n",
       "                                            venue_name     home_captain  \\\n",
       "0                      Sheikh Zayed Stadium, Abu Dhabi     Rohit Sharma   \n",
       "1                  Dubai International Cricket Stadium     Shreyas Iyer   \n",
       "2                  Dubai International Cricket Stadium     David Warner   \n",
       "3                              Sharjah Cricket Stadium     Steven Smith   \n",
       "4                      Sheikh Zayed Stadium, Abu Dhabi   Dinesh Karthik   \n",
       "..                                                 ...              ...   \n",
       "819                   M.Chinnaswamy Stadium, Bengaluru     Rahul Dravid   \n",
       "820  Punjab Cricket Association IS Bindra Stadium, ...     Yuvraj Singh   \n",
       "821                           Wankhede Stadium, Mumbai  Virender Sehwag   \n",
       "822                           Wankhede Stadium, Mumbai         MS Dhoni   \n",
       "823                 Dr DY Patil Sports Academy, Mumbai         MS Dhoni   \n",
       "\n",
       "         away_captain               pom  \\\n",
       "0            MS Dhoni     Ambati Rayudu   \n",
       "1            KL Rahul    Marcus Stoinis   \n",
       "2         Virat Kohli  Yuzvendra Chahal   \n",
       "3            MS Dhoni      Sanju Samson   \n",
       "4        Rohit Sharma      Rohit Sharma   \n",
       "..                ...               ...   \n",
       "819  Sachin Tendulkar  Dilhara Fernando   \n",
       "820      Shane Watson       Shaun Marsh   \n",
       "821       Shane Warne      Shane Watson   \n",
       "822      Yuvraj Singh     Makhaya Ntini   \n",
       "823       Shane Warne      Yusuf Pathan   \n",
       "\n",
       "                                                points  super_over  \\\n",
       "0              Chennai Super Kings 2, Mumbai Indians 0       False   \n",
       "1                  Delhi Capitals 2, Kings XI Punjab 0        True   \n",
       "2    Royal Challengers Bangalore 2, Sunrisers Hyder...       False   \n",
       "3            Rajasthan Royals 2, Chennai Super Kings 0       False   \n",
       "4            Mumbai Indians 2, Kolkata Knight Riders 0       False   \n",
       "..                                                 ...         ...   \n",
       "819    Mumbai Indians 2, Royal Challengers Bangalore 0       False   \n",
       "820              Kings XI Punjab 2, Rajasthan Royals 0       False   \n",
       "821                                               None       False   \n",
       "822                                               None       False   \n",
       "823                                               None       False   \n",
       "\n",
       "     home_overs  home_runs  home_wickets  home_boundaries  away_overs  \\\n",
       "0          20.0      162.0           9.0             19.0        19.2   \n",
       "1          20.0      157.0           8.0             19.0        20.0   \n",
       "2          19.4      153.0          10.0             17.0        20.0   \n",
       "3          20.0      216.0           7.0             26.0        20.0   \n",
       "4          20.0      146.0           9.0             20.0        20.0   \n",
       "..          ...        ...           ...              ...         ...   \n",
       "819        18.0      122.0           9.0             13.0        16.0   \n",
       "820        20.0      221.0           3.0             34.0        20.0   \n",
       "821        16.1       87.0          10.0             10.0        20.0   \n",
       "822        14.5      116.0           1.0             17.0        20.0   \n",
       "823        20.0      163.0           5.0             16.0        20.0   \n",
       "\n",
       "     away_runs  away_wickets  away_boundaries  \\\n",
       "0        166.0           5.0             21.0   \n",
       "1        157.0           8.0             18.0   \n",
       "2        163.0           5.0             17.0   \n",
       "3        200.0           6.0             25.0   \n",
       "4        195.0           5.0             22.0   \n",
       "..         ...           ...              ...   \n",
       "819      126.0           1.0             16.0   \n",
       "820      180.0           7.0             26.0   \n",
       "821      192.0           9.0             29.0   \n",
       "822      112.0           8.0             13.0   \n",
       "823      164.0           7.0             17.0   \n",
       "\n",
       "                                            highlights  \\\n",
       "0    Ambati Rayudu, Faf du Plessis help CSK break M...   \n",
       "1    Delhi Capitals claim Super-Over win after Marc...   \n",
       "2    Yuzvendra Chahal three-for, Sunrisers Hyderaba...   \n",
       "3    Sanju Samson, Steven Smith, Jofra Archer help ...   \n",
       "4    Rohit Sharma and Jasprit Bumrah's heroics take...   \n",
       "..                                                 ...   \n",
       "819  Mumbai end IPL campaign with easy win. Mumbai ...   \n",
       "820  Marsh century conquers Rajasthan. Kings XI Pun...   \n",
       "821  Watson helps Rajasthan march into final. This ...   \n",
       "822  Inspired Chennai send Punjab packing. An inspi...   \n",
       "823  Rajasthan champions after cliffhanger. League ...   \n",
       "\n",
       "                        home_key_batsman                    home_key_bowler  \\\n",
       "0         Saurabh Tiwary,Quinton de Kock        James Pattinson,Trent Boult   \n",
       "1            Marcus Stoinis,Shreyas Iyer  Ravichandran Ashwin,Kagiso Rabada   \n",
       "2           Jonny Bairstow,Manish Pandey      Abhishek Sharma,Vijay Shankar   \n",
       "3              Sanju Samson,Steven Smith         Rahul Tewatia,Jofra Archer   \n",
       "4             Pat Cummins,Dinesh Karthik          Shivam Mavi,Andre Russell   \n",
       "..                                   ...                                ...   \n",
       "819            Cameron White,Vinay Kumar       Dale Steyn,Balachandra Akhil   \n",
       "820              Shaun Marsh,James Hopes          Piyush Chawla,James Hopes   \n",
       "821  Tillakaratne Dilshan,Gautam Gambhir       Farveez Maharoof,Amit Mishra   \n",
       "822           Suresh Raina,Parthiv Patel        Manpreet Gony,Makhaya Ntini   \n",
       "823           Suresh Raina,Parthiv Patel  Albie Morkel,Muttiah Muralitharan   \n",
       "\n",
       "                                           home_playx1  \\\n",
       "0    Rohit Sharma (BT),Quinton de Kock (WK),Suryaku...   \n",
       "1    Prithvi Shaw (BT),Shikhar Dhawan (BT),Shimron ...   \n",
       "2    David Warner (BT),Jonny Bairstow (WK),Manish P...   \n",
       "3    Yashasvi Jaiswal (BT),Steven Smith (BT),Sanju ...   \n",
       "4    Shubman Gill (BT),Sunil Narine (AR),Dinesh Kar...   \n",
       "..                                                 ...   \n",
       "819  Mark Boucher (BT),Shreevats Goswami (WK),Misba...   \n",
       "820  Shaun Marsh (BT),James Hopes (AR),Yuvraj Singh...   \n",
       "821  Gautam Gambhir (BT),Virender Sehwag (BT),Shikh...   \n",
       "822  Parthiv Patel (WK),Vidyut Sivaramakrishnan (UK...   \n",
       "823  Parthiv Patel (WK),Vidyut Sivaramakrishnan (UK...   \n",
       "\n",
       "                                           away_playx1  \\\n",
       "0    Murali Vijay (BT),Shane Watson (AR),Faf du Ple...   \n",
       "1    KL Rahul (WK),Mayank Agarwal (BT),Karun Nair (...   \n",
       "2    Devdutt Padikkal (BT),Aaron Finch (BT),Virat K...   \n",
       "3    Murali Vijay (BT),Shane Watson (AR),Faf du Ple...   \n",
       "4    Quinton de Kock (WK),Rohit Sharma (BT),Suryaku...   \n",
       "..                                                 ...   \n",
       "819  Sanath Jayasuriya (AR),Sachin Tendulkar (BT),R...   \n",
       "820  Mohammad Kaif (BT),Niraj Patel (UKN),Younis Kh...   \n",
       "821  Graeme Smith (BT),Swapnil Asnodkar (BT),Sohail...   \n",
       "822  Shaun Marsh (BT),James Hopes (AR),Kumar Sangak...   \n",
       "823  Niraj Patel (UKN),Swapnil Asnodkar (BT),Kamran...   \n",
       "\n",
       "                       away_key_batsman                  away_key_bowler  \\\n",
       "0          Ambati Rayudu,Faf du Plessis        Lungi Ngidi,Deepak Chahar   \n",
       "1               Mayank Agarwal,KL Rahul  Mohammed Shami,Sheldon Cottrell   \n",
       "2       Devdutt Padikkal,AB de Villiers     Yuzvendra Chahal,Shivam Dube   \n",
       "3           Faf du Plessis,Shane Watson         Sam Curran,Deepak Chahar   \n",
       "4         Rohit Sharma,Suryakumar Yadav     James Pattinson,Rahul Chahar   \n",
       "..                                  ...                              ...   \n",
       "819  Sanath Jayasuriya,Sachin Tendulkar    Dilhara Fernando,Dwayne Smith   \n",
       "820            Niraj Patel,Yusuf Pathan        Shane Watson,Yusuf Pathan   \n",
       "821           Shane Watson,Yusuf Pathan         Shane Watson,Munaf Patel   \n",
       "822            Ramesh Powar,Wilkin Mota        Irfan Pathan,Vikram Singh   \n",
       "823       Yusuf Pathan,Swapnil Asnodkar        Yusuf Pathan,Shane Watson   \n",
       "\n",
       "                                          match_days                  umpire1  \\\n",
       "0    19 September 2020 - night match (20-over match)           Chris Gaffaney   \n",
       "1    20 September 2020 - night match (20-over match)           Anil Chaudhary   \n",
       "2    21 September 2020 - night match (20-over match)            Anil Dandekar   \n",
       "3    22 September 2020 - night match (20-over match)  Chettithody Shamshuddin   \n",
       "4    23 September 2020 - night match (20-over match)           Chris Gaffaney   \n",
       "..                                               ...                      ...   \n",
       "819    28 May 2008 - day/night match (20-over match)             Billy Bowden   \n",
       "820        28 May 2008 - night match (20-over match)        Krishna Hariharan   \n",
       "821        30 May 2008 - night match (20-over match)             Billy Bowden   \n",
       "822        31 May 2008 - night match (20-over match)                Asad Rauf   \n",
       "823        1 June 2008 - night match (20-over match)             Billy Bowden   \n",
       "\n",
       "               umpire2              tv_umpire                   referee  \\\n",
       "0      Virender Sharma          Sundaram Ravi               Manu Nayyar   \n",
       "1          Nitin Menon           Paul Reiffel           Javagal Srinath   \n",
       "2          Nitin Menon         Anil Chaudhary             Prakash Bhatt   \n",
       "3      Vineet Kulkarni  KN Ananthapadmanabhan    Vengalil Narayan Kutty   \n",
       "4        Sundaram Ravi        Virender Sharma               Manu Nayyar   \n",
       "..                 ...                    ...                       ...   \n",
       "819  Arani Jayaprakash         Billy Doctrove           Sir Clive Lloyd   \n",
       "820        Steve Davis           Daryl Harper  Srinivas Venkataraghavan   \n",
       "821      Rudi Koertzen         Billy Doctrove           Javagal Srinath   \n",
       "822       Daryl Harper      Krishna Hariharan  Srinivas Venkataraghavan   \n",
       "823      Rudi Koertzen           Daryl Harper           Javagal Srinath   \n",
       "\n",
       "                reserve_umpire  \n",
       "0                 Ulhas Gandhe  \n",
       "1               Yeshwant Barde  \n",
       "2               Yeshwant Barde  \n",
       "3    Krishnamachari Srinivasan  \n",
       "4              Pashchim Pathak  \n",
       "..                         ...  \n",
       "819                       None  \n",
       "820                   MS Mahal  \n",
       "821                       None  \n",
       "822                       None  \n",
       "823                   MR Singh  \n",
       "\n",
       "[824 rows x 45 columns]"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_matches_data = pd.read_csv('IPL data/all_season_summary.csv')\n",
    "all_matches_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "negative-benefit",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1216534, 1216547, 1216514, 1216525, 1216540, 1216522, 1216494]"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rcb2020_wins_match_ids = list(all_matches_data[(all_matches_data['season'] == 2020) & (all_matches_data['winner'] == \"RCB\")]['id'])\n",
    "rcb2020_wins_match_ids"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "temporal-cedar",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1216510, 1216519, 1216531, 1216544, 1216499, 1216502, 1216505, 1237178]"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rcb2020_losses_match_ids = list(all_matches_data[(all_matches_data['season'] == 2020) & ((all_matches_data['home_team']=='RCB') | (all_matches_data['away_team']=='RCB')) & (all_matches_data['winner'] != \"RCB\")]['id'])\n",
    "rcb2020_losses_match_ids\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "emotional-guitar",
   "metadata": {},
   "outputs": [],
   "source": [
    "rcb2020_wins_match_ids = [1216534, 1216547, 1216514, 1216525, 1216540, 1216522, 1216494, 1254079, 1254073, 1254067, 1254063, 1254058]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "announced-argument",
   "metadata": {},
   "outputs": [],
   "source": [
    "rcb2020_losses_match_ids = [1216510, 1216519, 1216531, 1216544, 1216499, 1216502, 1216505, 1237178, 1254076, 1254083]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "hourly-montgomery",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>match_id</th>\n",
       "      <th>season</th>\n",
       "      <th>start_date</th>\n",
       "      <th>venue</th>\n",
       "      <th>innings</th>\n",
       "      <th>ball</th>\n",
       "      <th>batting_team</th>\n",
       "      <th>bowling_team</th>\n",
       "      <th>striker</th>\n",
       "      <th>non_striker</th>\n",
       "      <th>bowler</th>\n",
       "      <th>runs_off_bat</th>\n",
       "      <th>extras</th>\n",
       "      <th>wides</th>\n",
       "      <th>noballs</th>\n",
       "      <th>byes</th>\n",
       "      <th>legbyes</th>\n",
       "      <th>penalty</th>\n",
       "      <th>wicket_type</th>\n",
       "      <th>player_dismissed</th>\n",
       "      <th>other_wicket_type</th>\n",
       "      <th>other_player_dismissed</th>\n",
       "      <th>over number</th>\n",
       "      <th>ball number</th>\n",
       "      <th>is_dot_batsman</th>\n",
       "      <th>bowler_runs</th>\n",
       "      <th>is_dot_bowler</th>\n",
       "      <th>is_wicket</th>\n",
       "      <th>is_four</th>\n",
       "      <th>is_six</th>\n",
       "      <th>is_boundary</th>\n",
       "      <th>is_bowlers_wicket</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>180699</th>\n",
       "      <td>1216510</td>\n",
       "      <td>2020/21</td>\n",
       "      <td>2020-09-24</td>\n",
       "      <td>Dubai International Cricket Stadium</td>\n",
       "      <td>2</td>\n",
       "      <td>2.6</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Kings XI Punjab</td>\n",
       "      <td>AB de Villiers</td>\n",
       "      <td>AJ Finch</td>\n",
       "      <td>SS Cottrell</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180701</th>\n",
       "      <td>1216510</td>\n",
       "      <td>2020/21</td>\n",
       "      <td>2020-09-24</td>\n",
       "      <td>Dubai International Cricket Stadium</td>\n",
       "      <td>2</td>\n",
       "      <td>3.2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Kings XI Punjab</td>\n",
       "      <td>AB de Villiers</td>\n",
       "      <td>AJ Finch</td>\n",
       "      <td>Mohammed Shami</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180706</th>\n",
       "      <td>1216510</td>\n",
       "      <td>2020/21</td>\n",
       "      <td>2020-09-24</td>\n",
       "      <td>Dubai International Cricket Stadium</td>\n",
       "      <td>2</td>\n",
       "      <td>4.1</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Kings XI Punjab</td>\n",
       "      <td>AB de Villiers</td>\n",
       "      <td>AJ Finch</td>\n",
       "      <td>SS Cottrell</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180707</th>\n",
       "      <td>1216510</td>\n",
       "      <td>2020/21</td>\n",
       "      <td>2020-09-24</td>\n",
       "      <td>Dubai International Cricket Stadium</td>\n",
       "      <td>2</td>\n",
       "      <td>4.2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Kings XI Punjab</td>\n",
       "      <td>AB de Villiers</td>\n",
       "      <td>AJ Finch</td>\n",
       "      <td>SS Cottrell</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180708</th>\n",
       "      <td>1216510</td>\n",
       "      <td>2020/21</td>\n",
       "      <td>2020-09-24</td>\n",
       "      <td>Dubai International Cricket Stadium</td>\n",
       "      <td>2</td>\n",
       "      <td>4.3</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Kings XI Punjab</td>\n",
       "      <td>AB de Villiers</td>\n",
       "      <td>AJ Finch</td>\n",
       "      <td>SS Cottrell</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199867</th>\n",
       "      <td>1254083</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-04-30</td>\n",
       "      <td>Narendra Modi Stadium, Ahmedabad</td>\n",
       "      <td>2</td>\n",
       "      <td>11.2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Punjab Kings</td>\n",
       "      <td>AB de Villiers</td>\n",
       "      <td>RM Patidar</td>\n",
       "      <td>Ravi Bishnoi</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199869</th>\n",
       "      <td>1254083</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-04-30</td>\n",
       "      <td>Narendra Modi Stadium, Ahmedabad</td>\n",
       "      <td>2</td>\n",
       "      <td>11.4</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Punjab Kings</td>\n",
       "      <td>AB de Villiers</td>\n",
       "      <td>RM Patidar</td>\n",
       "      <td>Ravi Bishnoi</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199870</th>\n",
       "      <td>1254083</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-04-30</td>\n",
       "      <td>Narendra Modi Stadium, Ahmedabad</td>\n",
       "      <td>2</td>\n",
       "      <td>11.5</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Punjab Kings</td>\n",
       "      <td>AB de Villiers</td>\n",
       "      <td>RM Patidar</td>\n",
       "      <td>Ravi Bishnoi</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199872</th>\n",
       "      <td>1254083</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-04-30</td>\n",
       "      <td>Narendra Modi Stadium, Ahmedabad</td>\n",
       "      <td>2</td>\n",
       "      <td>11.7</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Punjab Kings</td>\n",
       "      <td>AB de Villiers</td>\n",
       "      <td>RM Patidar</td>\n",
       "      <td>Ravi Bishnoi</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199873</th>\n",
       "      <td>1254083</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-04-30</td>\n",
       "      <td>Narendra Modi Stadium, Ahmedabad</td>\n",
       "      <td>2</td>\n",
       "      <td>12.1</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Punjab Kings</td>\n",
       "      <td>AB de Villiers</td>\n",
       "      <td>RM Patidar</td>\n",
       "      <td>Harpreet Brar</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>caught</td>\n",
       "      <td>AB de Villiers</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>187 rows × 32 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        match_id   season  start_date                                venue  \\\n",
       "180699   1216510  2020/21  2020-09-24  Dubai International Cricket Stadium   \n",
       "180701   1216510  2020/21  2020-09-24  Dubai International Cricket Stadium   \n",
       "180706   1216510  2020/21  2020-09-24  Dubai International Cricket Stadium   \n",
       "180707   1216510  2020/21  2020-09-24  Dubai International Cricket Stadium   \n",
       "180708   1216510  2020/21  2020-09-24  Dubai International Cricket Stadium   \n",
       "...          ...      ...         ...                                  ...   \n",
       "199867   1254083     2021  2021-04-30     Narendra Modi Stadium, Ahmedabad   \n",
       "199869   1254083     2021  2021-04-30     Narendra Modi Stadium, Ahmedabad   \n",
       "199870   1254083     2021  2021-04-30     Narendra Modi Stadium, Ahmedabad   \n",
       "199872   1254083     2021  2021-04-30     Narendra Modi Stadium, Ahmedabad   \n",
       "199873   1254083     2021  2021-04-30     Narendra Modi Stadium, Ahmedabad   \n",
       "\n",
       "        innings  ball                 batting_team     bowling_team  \\\n",
       "180699        2   2.6  Royal Challengers Bangalore  Kings XI Punjab   \n",
       "180701        2   3.2  Royal Challengers Bangalore  Kings XI Punjab   \n",
       "180706        2   4.1  Royal Challengers Bangalore  Kings XI Punjab   \n",
       "180707        2   4.2  Royal Challengers Bangalore  Kings XI Punjab   \n",
       "180708        2   4.3  Royal Challengers Bangalore  Kings XI Punjab   \n",
       "...         ...   ...                          ...              ...   \n",
       "199867        2  11.2  Royal Challengers Bangalore     Punjab Kings   \n",
       "199869        2  11.4  Royal Challengers Bangalore     Punjab Kings   \n",
       "199870        2  11.5  Royal Challengers Bangalore     Punjab Kings   \n",
       "199872        2  11.7  Royal Challengers Bangalore     Punjab Kings   \n",
       "199873        2  12.1  Royal Challengers Bangalore     Punjab Kings   \n",
       "\n",
       "               striker non_striker          bowler  runs_off_bat  extras  \\\n",
       "180699  AB de Villiers    AJ Finch     SS Cottrell             0       0   \n",
       "180701  AB de Villiers    AJ Finch  Mohammed Shami             1       0   \n",
       "180706  AB de Villiers    AJ Finch     SS Cottrell             0       0   \n",
       "180707  AB de Villiers    AJ Finch     SS Cottrell             6       0   \n",
       "180708  AB de Villiers    AJ Finch     SS Cottrell             0       1   \n",
       "...                ...         ...             ...           ...     ...   \n",
       "199867  AB de Villiers  RM Patidar    Ravi Bishnoi             1       0   \n",
       "199869  AB de Villiers  RM Patidar    Ravi Bishnoi             0       0   \n",
       "199870  AB de Villiers  RM Patidar    Ravi Bishnoi             1       0   \n",
       "199872  AB de Villiers  RM Patidar    Ravi Bishnoi             1       0   \n",
       "199873  AB de Villiers  RM Patidar   Harpreet Brar             0       0   \n",
       "\n",
       "        wides  noballs  byes  legbyes  penalty wicket_type player_dismissed  \\\n",
       "180699      0        0     0        0        0         NaN              NaN   \n",
       "180701      0        0     0        0        0         NaN              NaN   \n",
       "180706      0        0     0        0        0         NaN              NaN   \n",
       "180707      0        0     0        0        0         NaN              NaN   \n",
       "180708      1        0     0        0        0         NaN              NaN   \n",
       "...       ...      ...   ...      ...      ...         ...              ...   \n",
       "199867      0        0     0        0        0         NaN              NaN   \n",
       "199869      0        0     0        0        0         NaN              NaN   \n",
       "199870      0        0     0        0        0         NaN              NaN   \n",
       "199872      0        0     0        0        0         NaN              NaN   \n",
       "199873      0        0     0        0        0      caught   AB de Villiers   \n",
       "\n",
       "        other_wicket_type  other_player_dismissed  over number  ball number  \\\n",
       "180699                NaN                     NaN            3            6   \n",
       "180701                NaN                     NaN            4            2   \n",
       "180706                NaN                     NaN            5            1   \n",
       "180707                NaN                     NaN            5            2   \n",
       "180708                NaN                     NaN            5            3   \n",
       "...                   ...                     ...          ...          ...   \n",
       "199867                NaN                     NaN           12            2   \n",
       "199869                NaN                     NaN           12            4   \n",
       "199870                NaN                     NaN           12            5   \n",
       "199872                NaN                     NaN           12            7   \n",
       "199873                NaN                     NaN           13            1   \n",
       "\n",
       "        is_dot_batsman  bowler_runs  is_dot_bowler  is_wicket  is_four  \\\n",
       "180699               1            0              1          0        0   \n",
       "180701               0            1              0          0        0   \n",
       "180706               1            0              1          0        0   \n",
       "180707               0            6              0          0        0   \n",
       "180708               1            1              0          0        0   \n",
       "...                ...          ...            ...        ...      ...   \n",
       "199867               0            1              0          0        0   \n",
       "199869               1            0              1          0        0   \n",
       "199870               0            1              0          0        0   \n",
       "199872               0            1              0          0        0   \n",
       "199873               1            0              1          1        0   \n",
       "\n",
       "        is_six  is_boundary  is_bowlers_wicket  \n",
       "180699       0            0                  0  \n",
       "180701       0            0                  0  \n",
       "180706       0            0                  0  \n",
       "180707       1            1                  0  \n",
       "180708       0            0                  0  \n",
       "...        ...          ...                ...  \n",
       "199867       0            0                  0  \n",
       "199869       0            0                  0  \n",
       "199870       0            0                  0  \n",
       "199872       0            0                  0  \n",
       "199873       0            0                  1  \n",
       "\n",
       "[187 rows x 32 columns]"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "abd_post2019_in_wins = abd_post2019[abd_post2019['match_id'].isin(rcb2020_wins_match_ids)]\n",
    "abd_post2019_in_wins\n",
    "abd_post2019_in_losses = abd_post2019[abd_post2019['match_id'].isin(rcb2020_losses_match_ids)]\n",
    "abd_post2019_in_losses"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "afraid-sunday",
   "metadata": {},
   "outputs": [],
   "source": [
    "abd_post2015 = abd[abd['start_date'] > '2015-12-31']\n",
    "rcb_post_2015_wins_match_ids = list(all_matches_data[(all_matches_data['season'] > 2015) & (all_matches_data['winner'] == \"RCB\")]['id'])\n",
    "rcb_post_2015_losses_match_ids = list(all_matches_data[(all_matches_data['season'] > 2015) & ((all_matches_data['home_team']=='RCB') | (all_matches_data['away_team']=='RCB')) & (all_matches_data['winner'] != \"RCB\")]['id'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "large-linux",
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in [1254079, 1254073, 1254067, 1254063, 1254058]:\n",
    "    rcb_post_2015_wins_match_ids.append(i)\n",
    "    \n",
    "for i in [1254076, 1254083]:\n",
    "    rcb_post_2015_losses_match_ids.append(i)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "waiting-border",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>match_id</th>\n",
       "      <th>season</th>\n",
       "      <th>start_date</th>\n",
       "      <th>venue</th>\n",
       "      <th>innings</th>\n",
       "      <th>ball</th>\n",
       "      <th>batting_team</th>\n",
       "      <th>bowling_team</th>\n",
       "      <th>striker</th>\n",
       "      <th>non_striker</th>\n",
       "      <th>bowler</th>\n",
       "      <th>runs_off_bat</th>\n",
       "      <th>extras</th>\n",
       "      <th>wides</th>\n",
       "      <th>noballs</th>\n",
       "      <th>byes</th>\n",
       "      <th>legbyes</th>\n",
       "      <th>penalty</th>\n",
       "      <th>wicket_type</th>\n",
       "      <th>player_dismissed</th>\n",
       "      <th>other_wicket_type</th>\n",
       "      <th>other_player_dismissed</th>\n",
       "      <th>over number</th>\n",
       "      <th>ball number</th>\n",
       "      <th>is_dot_batsman</th>\n",
       "      <th>bowler_runs</th>\n",
       "      <th>is_dot_bowler</th>\n",
       "      <th>is_wicket</th>\n",
       "      <th>is_four</th>\n",
       "      <th>is_six</th>\n",
       "      <th>is_boundary</th>\n",
       "      <th>is_bowlers_wicket</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>124820</th>\n",
       "      <td>980921</td>\n",
       "      <td>2016</td>\n",
       "      <td>2016-04-17</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>1</td>\n",
       "      <td>0.4</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>AB de Villiers</td>\n",
       "      <td>V Kohli</td>\n",
       "      <td>Z Khan</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124821</th>\n",
       "      <td>980921</td>\n",
       "      <td>2016</td>\n",
       "      <td>2016-04-17</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>1</td>\n",
       "      <td>0.5</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>AB de Villiers</td>\n",
       "      <td>V Kohli</td>\n",
       "      <td>Z Khan</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124822</th>\n",
       "      <td>980921</td>\n",
       "      <td>2016</td>\n",
       "      <td>2016-04-17</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>1</td>\n",
       "      <td>0.6</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>AB de Villiers</td>\n",
       "      <td>V Kohli</td>\n",
       "      <td>Z Khan</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124827</th>\n",
       "      <td>980921</td>\n",
       "      <td>2016</td>\n",
       "      <td>2016-04-17</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>AB de Villiers</td>\n",
       "      <td>V Kohli</td>\n",
       "      <td>CH Morris</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124828</th>\n",
       "      <td>980921</td>\n",
       "      <td>2016</td>\n",
       "      <td>2016-04-17</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>1</td>\n",
       "      <td>1.6</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>AB de Villiers</td>\n",
       "      <td>V Kohli</td>\n",
       "      <td>CH Morris</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199867</th>\n",
       "      <td>1254083</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-04-30</td>\n",
       "      <td>Narendra Modi Stadium, Ahmedabad</td>\n",
       "      <td>2</td>\n",
       "      <td>11.2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Punjab Kings</td>\n",
       "      <td>AB de Villiers</td>\n",
       "      <td>RM Patidar</td>\n",
       "      <td>Ravi Bishnoi</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199869</th>\n",
       "      <td>1254083</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-04-30</td>\n",
       "      <td>Narendra Modi Stadium, Ahmedabad</td>\n",
       "      <td>2</td>\n",
       "      <td>11.4</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Punjab Kings</td>\n",
       "      <td>AB de Villiers</td>\n",
       "      <td>RM Patidar</td>\n",
       "      <td>Ravi Bishnoi</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199870</th>\n",
       "      <td>1254083</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-04-30</td>\n",
       "      <td>Narendra Modi Stadium, Ahmedabad</td>\n",
       "      <td>2</td>\n",
       "      <td>11.5</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Punjab Kings</td>\n",
       "      <td>AB de Villiers</td>\n",
       "      <td>RM Patidar</td>\n",
       "      <td>Ravi Bishnoi</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199872</th>\n",
       "      <td>1254083</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-04-30</td>\n",
       "      <td>Narendra Modi Stadium, Ahmedabad</td>\n",
       "      <td>2</td>\n",
       "      <td>11.7</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Punjab Kings</td>\n",
       "      <td>AB de Villiers</td>\n",
       "      <td>RM Patidar</td>\n",
       "      <td>Ravi Bishnoi</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199873</th>\n",
       "      <td>1254083</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-04-30</td>\n",
       "      <td>Narendra Modi Stadium, Ahmedabad</td>\n",
       "      <td>2</td>\n",
       "      <td>12.1</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Punjab Kings</td>\n",
       "      <td>AB de Villiers</td>\n",
       "      <td>RM Patidar</td>\n",
       "      <td>Harpreet Brar</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>caught</td>\n",
       "      <td>AB de Villiers</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>811 rows × 32 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        match_id season  start_date                             venue  \\\n",
       "124820    980921   2016  2016-04-17             M Chinnaswamy Stadium   \n",
       "124821    980921   2016  2016-04-17             M Chinnaswamy Stadium   \n",
       "124822    980921   2016  2016-04-17             M Chinnaswamy Stadium   \n",
       "124827    980921   2016  2016-04-17             M Chinnaswamy Stadium   \n",
       "124828    980921   2016  2016-04-17             M Chinnaswamy Stadium   \n",
       "...          ...    ...         ...                               ...   \n",
       "199867   1254083   2021  2021-04-30  Narendra Modi Stadium, Ahmedabad   \n",
       "199869   1254083   2021  2021-04-30  Narendra Modi Stadium, Ahmedabad   \n",
       "199870   1254083   2021  2021-04-30  Narendra Modi Stadium, Ahmedabad   \n",
       "199872   1254083   2021  2021-04-30  Narendra Modi Stadium, Ahmedabad   \n",
       "199873   1254083   2021  2021-04-30  Narendra Modi Stadium, Ahmedabad   \n",
       "\n",
       "        innings  ball                 batting_team      bowling_team  \\\n",
       "124820        1   0.4  Royal Challengers Bangalore  Delhi Daredevils   \n",
       "124821        1   0.5  Royal Challengers Bangalore  Delhi Daredevils   \n",
       "124822        1   0.6  Royal Challengers Bangalore  Delhi Daredevils   \n",
       "124827        1   1.5  Royal Challengers Bangalore  Delhi Daredevils   \n",
       "124828        1   1.6  Royal Challengers Bangalore  Delhi Daredevils   \n",
       "...         ...   ...                          ...               ...   \n",
       "199867        2  11.2  Royal Challengers Bangalore      Punjab Kings   \n",
       "199869        2  11.4  Royal Challengers Bangalore      Punjab Kings   \n",
       "199870        2  11.5  Royal Challengers Bangalore      Punjab Kings   \n",
       "199872        2  11.7  Royal Challengers Bangalore      Punjab Kings   \n",
       "199873        2  12.1  Royal Challengers Bangalore      Punjab Kings   \n",
       "\n",
       "               striker non_striker         bowler  runs_off_bat  extras  \\\n",
       "124820  AB de Villiers     V Kohli         Z Khan             0       0   \n",
       "124821  AB de Villiers     V Kohli         Z Khan             4       0   \n",
       "124822  AB de Villiers     V Kohli         Z Khan             4       0   \n",
       "124827  AB de Villiers     V Kohli      CH Morris             0       0   \n",
       "124828  AB de Villiers     V Kohli      CH Morris             0       0   \n",
       "...                ...         ...            ...           ...     ...   \n",
       "199867  AB de Villiers  RM Patidar   Ravi Bishnoi             1       0   \n",
       "199869  AB de Villiers  RM Patidar   Ravi Bishnoi             0       0   \n",
       "199870  AB de Villiers  RM Patidar   Ravi Bishnoi             1       0   \n",
       "199872  AB de Villiers  RM Patidar   Ravi Bishnoi             1       0   \n",
       "199873  AB de Villiers  RM Patidar  Harpreet Brar             0       0   \n",
       "\n",
       "        wides  noballs  byes  legbyes  penalty wicket_type player_dismissed  \\\n",
       "124820      0        0     0        0        0         NaN              NaN   \n",
       "124821      0        0     0        0        0         NaN              NaN   \n",
       "124822      0        0     0        0        0         NaN              NaN   \n",
       "124827      0        0     0        0        0         NaN              NaN   \n",
       "124828      0        0     0        0        0         NaN              NaN   \n",
       "...       ...      ...   ...      ...      ...         ...              ...   \n",
       "199867      0        0     0        0        0         NaN              NaN   \n",
       "199869      0        0     0        0        0         NaN              NaN   \n",
       "199870      0        0     0        0        0         NaN              NaN   \n",
       "199872      0        0     0        0        0         NaN              NaN   \n",
       "199873      0        0     0        0        0      caught   AB de Villiers   \n",
       "\n",
       "        other_wicket_type  other_player_dismissed  over number  ball number  \\\n",
       "124820                NaN                     NaN            1            4   \n",
       "124821                NaN                     NaN            1            5   \n",
       "124822                NaN                     NaN            1            6   \n",
       "124827                NaN                     NaN            2            5   \n",
       "124828                NaN                     NaN            2            6   \n",
       "...                   ...                     ...          ...          ...   \n",
       "199867                NaN                     NaN           12            2   \n",
       "199869                NaN                     NaN           12            4   \n",
       "199870                NaN                     NaN           12            5   \n",
       "199872                NaN                     NaN           12            7   \n",
       "199873                NaN                     NaN           13            1   \n",
       "\n",
       "        is_dot_batsman  bowler_runs  is_dot_bowler  is_wicket  is_four  \\\n",
       "124820               1            0              1          0        0   \n",
       "124821               0            4              0          0        1   \n",
       "124822               0            4              0          0        1   \n",
       "124827               1            0              1          0        0   \n",
       "124828               1            0              1          0        0   \n",
       "...                ...          ...            ...        ...      ...   \n",
       "199867               0            1              0          0        0   \n",
       "199869               1            0              1          0        0   \n",
       "199870               0            1              0          0        0   \n",
       "199872               0            1              0          0        0   \n",
       "199873               1            0              1          1        0   \n",
       "\n",
       "        is_six  is_boundary  is_bowlers_wicket  \n",
       "124820       0            0                  0  \n",
       "124821       0            1                  0  \n",
       "124822       0            1                  0  \n",
       "124827       0            0                  0  \n",
       "124828       0            0                  0  \n",
       "...        ...          ...                ...  \n",
       "199867       0            0                  0  \n",
       "199869       0            0                  0  \n",
       "199870       0            0                  0  \n",
       "199872       0            0                  0  \n",
       "199873       0            0                  1  \n",
       "\n",
       "[811 rows x 32 columns]"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "abd_post2015_in_wins = abd_post2015[abd_post2015['match_id'].isin(rcb_post_2015_wins_match_ids)]\n",
    "abd_post2015_in_wins\n",
    "abd_post2015_in_losses = abd_post2015[abd_post2015['match_id'].isin(rcb_post_2015_losses_match_ids)]\n",
    "abd_post2015_in_losses"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "passive-azerbaijan",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Innings</th>\n",
       "      <th>Balls Faced</th>\n",
       "      <th>Runs</th>\n",
       "      <th>Dismissals</th>\n",
       "      <th>Dots</th>\n",
       "      <th>Fours</th>\n",
       "      <th>Sixes</th>\n",
       "      <th>Boundaries</th>\n",
       "      <th>Average</th>\n",
       "      <th>Strike Rate</th>\n",
       "      <th>Runs Per Innings</th>\n",
       "      <th>Dot%</th>\n",
       "      <th>Balls Per Boundary</th>\n",
       "      <th>Ball Per Dismissal</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>innings</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>40</td>\n",
       "      <td>984</td>\n",
       "      <td>1634</td>\n",
       "      <td>32</td>\n",
       "      <td>280</td>\n",
       "      <td>125</td>\n",
       "      <td>95</td>\n",
       "      <td>220</td>\n",
       "      <td>51.06</td>\n",
       "      <td>166.06</td>\n",
       "      <td>40.85</td>\n",
       "      <td>28.46</td>\n",
       "      <td>4.47</td>\n",
       "      <td>30.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>29</td>\n",
       "      <td>554</td>\n",
       "      <td>852</td>\n",
       "      <td>21</td>\n",
       "      <td>165</td>\n",
       "      <td>63</td>\n",
       "      <td>47</td>\n",
       "      <td>110</td>\n",
       "      <td>40.57</td>\n",
       "      <td>153.79</td>\n",
       "      <td>29.38</td>\n",
       "      <td>29.78</td>\n",
       "      <td>5.04</td>\n",
       "      <td>26.38</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Innings  Balls Faced  Runs  Dismissals  Dots  Fours  Sixes  \\\n",
       "innings                                                               \n",
       "1             40          984  1634          32   280    125     95   \n",
       "2             29          554   852          21   165     63     47   \n",
       "\n",
       "         Boundaries  Average  Strike Rate  Runs Per Innings   Dot%  \\\n",
       "innings                                                              \n",
       "1               220    51.06       166.06             40.85  28.46   \n",
       "2               110    40.57       153.79             29.38  29.78   \n",
       "\n",
       "         Balls Per Boundary  Ball Per Dismissal  \n",
       "innings                                          \n",
       "1                      4.47               30.75  \n",
       "2                      5.04               26.38  "
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "abd_innings_wise_post_2015 = batsman_stats(abd_post2015)\n",
    "abd_innings_wise_post_2015"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "transparent-artist",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Innings</th>\n",
       "      <th>Balls Faced</th>\n",
       "      <th>Runs</th>\n",
       "      <th>Dismissals</th>\n",
       "      <th>Dots</th>\n",
       "      <th>Fours</th>\n",
       "      <th>Sixes</th>\n",
       "      <th>Boundaries</th>\n",
       "      <th>Average</th>\n",
       "      <th>Strike Rate</th>\n",
       "      <th>Runs Per Innings</th>\n",
       "      <th>Dot%</th>\n",
       "      <th>Balls Per Boundary</th>\n",
       "      <th>Ball Per Dismissal</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>innings</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>15</td>\n",
       "      <td>448</td>\n",
       "      <td>865</td>\n",
       "      <td>9</td>\n",
       "      <td>104</td>\n",
       "      <td>71</td>\n",
       "      <td>53</td>\n",
       "      <td>124</td>\n",
       "      <td>96.11</td>\n",
       "      <td>193.08</td>\n",
       "      <td>57.67</td>\n",
       "      <td>23.21</td>\n",
       "      <td>3.61</td>\n",
       "      <td>49.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>12</td>\n",
       "      <td>300</td>\n",
       "      <td>539</td>\n",
       "      <td>5</td>\n",
       "      <td>65</td>\n",
       "      <td>38</td>\n",
       "      <td>33</td>\n",
       "      <td>71</td>\n",
       "      <td>107.80</td>\n",
       "      <td>179.67</td>\n",
       "      <td>44.92</td>\n",
       "      <td>21.67</td>\n",
       "      <td>4.23</td>\n",
       "      <td>60.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Innings  Balls Faced  Runs  Dismissals  Dots  Fours  Sixes  \\\n",
       "innings                                                               \n",
       "1             15          448   865           9   104     71     53   \n",
       "2             12          300   539           5    65     38     33   \n",
       "\n",
       "         Boundaries  Average  Strike Rate  Runs Per Innings   Dot%  \\\n",
       "innings                                                              \n",
       "1               124    96.11       193.08             57.67  23.21   \n",
       "2                71   107.80       179.67             44.92  21.67   \n",
       "\n",
       "         Balls Per Boundary  Ball Per Dismissal  \n",
       "innings                                          \n",
       "1                      3.61               49.78  \n",
       "2                      4.23               60.00  "
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "abd_innings_wise_post_2015_in_wins = batsman_stats(abd_post2015_in_wins)\n",
    "abd_innings_wise_post_2015_in_wins"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "necessary-thought",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Innings</th>\n",
       "      <th>Balls Faced</th>\n",
       "      <th>Runs</th>\n",
       "      <th>Dismissals</th>\n",
       "      <th>Dots</th>\n",
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       "      <th>Sixes</th>\n",
       "      <th>Boundaries</th>\n",
       "      <th>Average</th>\n",
       "      <th>Strike Rate</th>\n",
       "      <th>Runs Per Innings</th>\n",
       "      <th>Dot%</th>\n",
       "      <th>Balls Per Boundary</th>\n",
       "      <th>Ball Per Dismissal</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>innings</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th>1</th>\n",
       "      <td>25</td>\n",
       "      <td>536</td>\n",
       "      <td>769</td>\n",
       "      <td>23</td>\n",
       "      <td>176</td>\n",
       "      <td>54</td>\n",
       "      <td>42</td>\n",
       "      <td>96</td>\n",
       "      <td>33.43</td>\n",
       "      <td>143.47</td>\n",
       "      <td>30.76</td>\n",
       "      <td>32.84</td>\n",
       "      <td>5.58</td>\n",
       "      <td>23.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>17</td>\n",
       "      <td>254</td>\n",
       "      <td>313</td>\n",
       "      <td>16</td>\n",
       "      <td>100</td>\n",
       "      <td>25</td>\n",
       "      <td>14</td>\n",
       "      <td>39</td>\n",
       "      <td>19.56</td>\n",
       "      <td>123.23</td>\n",
       "      <td>18.41</td>\n",
       "      <td>39.37</td>\n",
       "      <td>6.51</td>\n",
       "      <td>15.88</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Innings  Balls Faced  Runs  Dismissals  Dots  Fours  Sixes  \\\n",
       "innings                                                               \n",
       "1             25          536   769          23   176     54     42   \n",
       "2             17          254   313          16   100     25     14   \n",
       "\n",
       "         Boundaries  Average  Strike Rate  Runs Per Innings   Dot%  \\\n",
       "innings                                                              \n",
       "1                96    33.43       143.47             30.76  32.84   \n",
       "2                39    19.56       123.23             18.41  39.37   \n",
       "\n",
       "         Balls Per Boundary  Ball Per Dismissal  \n",
       "innings                                          \n",
       "1                      5.58               23.30  \n",
       "2                      6.51               15.88  "
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "abd_innings_wise_post_2015_in_losses = batsman_stats(abd_post2015_in_losses)\n",
    "abd_innings_wise_post_2015_in_losses"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "collaborative-gibraltar",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>Innings</th>\n",
       "      <th>Balls Faced</th>\n",
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       "      <th>Dot%</th>\n",
       "      <th>Balls Per Boundary</th>\n",
       "      <th>Ball Per Dismissal</th>\n",
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       "    <tr>\n",
       "      <th>innings</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th>1</th>\n",
       "      <td>13</td>\n",
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       "      <td>9</td>\n",
       "      <td>77</td>\n",
       "      <td>37</td>\n",
       "      <td>24</td>\n",
       "      <td>61</td>\n",
       "      <td>55.78</td>\n",
       "      <td>161.94</td>\n",
       "      <td>38.62</td>\n",
       "      <td>24.84</td>\n",
       "      <td>5.08</td>\n",
       "      <td>34.44</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7</td>\n",
       "      <td>101</td>\n",
       "      <td>159</td>\n",
       "      <td>5</td>\n",
       "      <td>32</td>\n",
       "      <td>12</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>31.80</td>\n",
       "      <td>157.43</td>\n",
       "      <td>22.71</td>\n",
       "      <td>31.68</td>\n",
       "      <td>4.81</td>\n",
       "      <td>20.20</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Innings  Balls Faced  Runs  Dismissals  Dots  Fours  Sixes  \\\n",
       "innings                                                               \n",
       "1             13          310   502           9    77     37     24   \n",
       "2              7          101   159           5    32     12      9   \n",
       "\n",
       "         Boundaries  Average  Strike Rate  Runs Per Innings   Dot%  \\\n",
       "innings                                                              \n",
       "1                61    55.78       161.94             38.62  24.84   \n",
       "2                21    31.80       157.43             22.71  31.68   \n",
       "\n",
       "         Balls Per Boundary  Ball Per Dismissal  \n",
       "innings                                          \n",
       "1                      5.08               34.44  \n",
       "2                      4.81               20.20  "
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "abd_innings_wise_post_2019 = batsman_stats(abd_post2019)\n",
    "abd_innings_wise_post_2019"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "hidden-iceland",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>innings</th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th>1</th>\n",
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       "      <td>37</td>\n",
       "      <td>25</td>\n",
       "      <td>20</td>\n",
       "      <td>45</td>\n",
       "      <td>110.33</td>\n",
       "      <td>195.86</td>\n",
       "      <td>47.29</td>\n",
       "      <td>21.89</td>\n",
       "      <td>3.76</td>\n",
       "      <td>56.33</td>\n",
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       "      <td>3</td>\n",
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       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>14</td>\n",
       "      <td>115.00</td>\n",
       "      <td>194.92</td>\n",
       "      <td>38.33</td>\n",
       "      <td>16.95</td>\n",
       "      <td>4.21</td>\n",
       "      <td>59.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Innings  Balls Faced  Runs  Dismissals  Dots  Fours  Sixes  \\\n",
       "innings                                                               \n",
       "1              7          169   331           3    37     25     20   \n",
       "2              3           59   115           1    10      6      8   \n",
       "\n",
       "         Boundaries  Average  Strike Rate  Runs Per Innings   Dot%  \\\n",
       "innings                                                              \n",
       "1                45   110.33       195.86             47.29  21.89   \n",
       "2                14   115.00       194.92             38.33  16.95   \n",
       "\n",
       "         Balls Per Boundary  Ball Per Dismissal  \n",
       "innings                                          \n",
       "1                      3.76               56.33  \n",
       "2                      4.21               59.00  "
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "abd_innings_wise_post_2019_in_wins = batsman_stats(abd_post2019_in_wins)\n",
    "abd_innings_wise_post_2019_in_wins"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "actual-charity",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th></th>\n",
       "      <th>Innings</th>\n",
       "      <th>Balls Faced</th>\n",
       "      <th>Runs</th>\n",
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       "      <th>innings</th>\n",
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       "      <th>1</th>\n",
       "      <td>6</td>\n",
       "      <td>141</td>\n",
       "      <td>171</td>\n",
       "      <td>6</td>\n",
       "      <td>40</td>\n",
       "      <td>12</td>\n",
       "      <td>4</td>\n",
       "      <td>16</td>\n",
       "      <td>28.5</td>\n",
       "      <td>121.28</td>\n",
       "      <td>28.5</td>\n",
       "      <td>28.37</td>\n",
       "      <td>8.81</td>\n",
       "      <td>23.5</td>\n",
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       "      <th>2</th>\n",
       "      <td>4</td>\n",
       "      <td>42</td>\n",
       "      <td>44</td>\n",
       "      <td>4</td>\n",
       "      <td>22</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>11.0</td>\n",
       "      <td>104.76</td>\n",
       "      <td>11.0</td>\n",
       "      <td>52.38</td>\n",
       "      <td>6.00</td>\n",
       "      <td>10.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Innings  Balls Faced  Runs  Dismissals  Dots  Fours  Sixes  \\\n",
       "innings                                                               \n",
       "1              6          141   171           6    40     12      4   \n",
       "2              4           42    44           4    22      6      1   \n",
       "\n",
       "         Boundaries  Average  Strike Rate  Runs Per Innings   Dot%  \\\n",
       "innings                                                              \n",
       "1                16     28.5       121.28              28.5  28.37   \n",
       "2                 7     11.0       104.76              11.0  52.38   \n",
       "\n",
       "         Balls Per Boundary  Ball Per Dismissal  \n",
       "innings                                          \n",
       "1                      8.81                23.5  \n",
       "2                      6.00                10.5  "
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "abd_innings_wise_post_2019_in_losses = batsman_stats(abd_post2019_in_losses)\n",
    "abd_innings_wise_post_2019_in_losses"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "basic-bermuda",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>Innings</th>\n",
       "      <th>Balls Faced</th>\n",
       "      <th>Runs</th>\n",
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       "      <th>Category</th>\n",
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       "    <tr>\n",
       "      <th>innings</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>40</td>\n",
       "      <td>984</td>\n",
       "      <td>1634</td>\n",
       "      <td>32</td>\n",
       "      <td>280</td>\n",
       "      <td>125</td>\n",
       "      <td>95</td>\n",
       "      <td>220</td>\n",
       "      <td>51.06</td>\n",
       "      <td>166.06</td>\n",
       "      <td>40.85</td>\n",
       "      <td>28.46</td>\n",
       "      <td>4.47</td>\n",
       "      <td>30.75</td>\n",
       "      <td>Since 2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>29</td>\n",
       "      <td>554</td>\n",
       "      <td>852</td>\n",
       "      <td>21</td>\n",
       "      <td>165</td>\n",
       "      <td>63</td>\n",
       "      <td>47</td>\n",
       "      <td>110</td>\n",
       "      <td>40.57</td>\n",
       "      <td>153.79</td>\n",
       "      <td>29.38</td>\n",
       "      <td>29.78</td>\n",
       "      <td>5.04</td>\n",
       "      <td>26.38</td>\n",
       "      <td>Since 2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>15</td>\n",
       "      <td>448</td>\n",
       "      <td>865</td>\n",
       "      <td>9</td>\n",
       "      <td>104</td>\n",
       "      <td>71</td>\n",
       "      <td>53</td>\n",
       "      <td>124</td>\n",
       "      <td>96.11</td>\n",
       "      <td>193.08</td>\n",
       "      <td>57.67</td>\n",
       "      <td>23.21</td>\n",
       "      <td>3.61</td>\n",
       "      <td>49.78</td>\n",
       "      <td>Since 2016 in Wins</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>12</td>\n",
       "      <td>300</td>\n",
       "      <td>539</td>\n",
       "      <td>5</td>\n",
       "      <td>65</td>\n",
       "      <td>38</td>\n",
       "      <td>33</td>\n",
       "      <td>71</td>\n",
       "      <td>107.80</td>\n",
       "      <td>179.67</td>\n",
       "      <td>44.92</td>\n",
       "      <td>21.67</td>\n",
       "      <td>4.23</td>\n",
       "      <td>60.00</td>\n",
       "      <td>Since 2016 in Wins</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>25</td>\n",
       "      <td>536</td>\n",
       "      <td>769</td>\n",
       "      <td>23</td>\n",
       "      <td>176</td>\n",
       "      <td>54</td>\n",
       "      <td>42</td>\n",
       "      <td>96</td>\n",
       "      <td>33.43</td>\n",
       "      <td>143.47</td>\n",
       "      <td>30.76</td>\n",
       "      <td>32.84</td>\n",
       "      <td>5.58</td>\n",
       "      <td>23.30</td>\n",
       "      <td>Since 2016 in Losses</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>17</td>\n",
       "      <td>254</td>\n",
       "      <td>313</td>\n",
       "      <td>16</td>\n",
       "      <td>100</td>\n",
       "      <td>25</td>\n",
       "      <td>14</td>\n",
       "      <td>39</td>\n",
       "      <td>19.56</td>\n",
       "      <td>123.23</td>\n",
       "      <td>18.41</td>\n",
       "      <td>39.37</td>\n",
       "      <td>6.51</td>\n",
       "      <td>15.88</td>\n",
       "      <td>Since 2016 in Losses</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>13</td>\n",
       "      <td>310</td>\n",
       "      <td>502</td>\n",
       "      <td>9</td>\n",
       "      <td>77</td>\n",
       "      <td>37</td>\n",
       "      <td>24</td>\n",
       "      <td>61</td>\n",
       "      <td>55.78</td>\n",
       "      <td>161.94</td>\n",
       "      <td>38.62</td>\n",
       "      <td>24.84</td>\n",
       "      <td>5.08</td>\n",
       "      <td>34.44</td>\n",
       "      <td>Since 2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7</td>\n",
       "      <td>101</td>\n",
       "      <td>159</td>\n",
       "      <td>5</td>\n",
       "      <td>32</td>\n",
       "      <td>12</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>31.80</td>\n",
       "      <td>157.43</td>\n",
       "      <td>22.71</td>\n",
       "      <td>31.68</td>\n",
       "      <td>4.81</td>\n",
       "      <td>20.20</td>\n",
       "      <td>Since 2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7</td>\n",
       "      <td>169</td>\n",
       "      <td>331</td>\n",
       "      <td>3</td>\n",
       "      <td>37</td>\n",
       "      <td>25</td>\n",
       "      <td>20</td>\n",
       "      <td>45</td>\n",
       "      <td>110.33</td>\n",
       "      <td>195.86</td>\n",
       "      <td>47.29</td>\n",
       "      <td>21.89</td>\n",
       "      <td>3.76</td>\n",
       "      <td>56.33</td>\n",
       "      <td>Since 2020 in Wins</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>59</td>\n",
       "      <td>115</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>14</td>\n",
       "      <td>115.00</td>\n",
       "      <td>194.92</td>\n",
       "      <td>38.33</td>\n",
       "      <td>16.95</td>\n",
       "      <td>4.21</td>\n",
       "      <td>59.00</td>\n",
       "      <td>Since 2020 in Wins</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6</td>\n",
       "      <td>141</td>\n",
       "      <td>171</td>\n",
       "      <td>6</td>\n",
       "      <td>40</td>\n",
       "      <td>12</td>\n",
       "      <td>4</td>\n",
       "      <td>16</td>\n",
       "      <td>28.50</td>\n",
       "      <td>121.28</td>\n",
       "      <td>28.50</td>\n",
       "      <td>28.37</td>\n",
       "      <td>8.81</td>\n",
       "      <td>23.50</td>\n",
       "      <td>Since 2020 in Losses</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4</td>\n",
       "      <td>42</td>\n",
       "      <td>44</td>\n",
       "      <td>4</td>\n",
       "      <td>22</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>11.00</td>\n",
       "      <td>104.76</td>\n",
       "      <td>11.00</td>\n",
       "      <td>52.38</td>\n",
       "      <td>6.00</td>\n",
       "      <td>10.50</td>\n",
       "      <td>Since 2020 in Losses</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Innings  Balls Faced  Runs  Dismissals  Dots  Fours  Sixes  \\\n",
       "innings                                                               \n",
       "1             40          984  1634          32   280    125     95   \n",
       "2             29          554   852          21   165     63     47   \n",
       "1             15          448   865           9   104     71     53   \n",
       "2             12          300   539           5    65     38     33   \n",
       "1             25          536   769          23   176     54     42   \n",
       "2             17          254   313          16   100     25     14   \n",
       "1             13          310   502           9    77     37     24   \n",
       "2              7          101   159           5    32     12      9   \n",
       "1              7          169   331           3    37     25     20   \n",
       "2              3           59   115           1    10      6      8   \n",
       "1              6          141   171           6    40     12      4   \n",
       "2              4           42    44           4    22      6      1   \n",
       "\n",
       "         Boundaries  Average  Strike Rate  Runs Per Innings   Dot%  \\\n",
       "innings                                                              \n",
       "1               220    51.06       166.06             40.85  28.46   \n",
       "2               110    40.57       153.79             29.38  29.78   \n",
       "1               124    96.11       193.08             57.67  23.21   \n",
       "2                71   107.80       179.67             44.92  21.67   \n",
       "1                96    33.43       143.47             30.76  32.84   \n",
       "2                39    19.56       123.23             18.41  39.37   \n",
       "1                61    55.78       161.94             38.62  24.84   \n",
       "2                21    31.80       157.43             22.71  31.68   \n",
       "1                45   110.33       195.86             47.29  21.89   \n",
       "2                14   115.00       194.92             38.33  16.95   \n",
       "1                16    28.50       121.28             28.50  28.37   \n",
       "2                 7    11.00       104.76             11.00  52.38   \n",
       "\n",
       "         Balls Per Boundary  Ball Per Dismissal              Category  \n",
       "innings                                                                \n",
       "1                      4.47               30.75            Since 2016  \n",
       "2                      5.04               26.38            Since 2016  \n",
       "1                      3.61               49.78    Since 2016 in Wins  \n",
       "2                      4.23               60.00    Since 2016 in Wins  \n",
       "1                      5.58               23.30  Since 2016 in Losses  \n",
       "2                      6.51               15.88  Since 2016 in Losses  \n",
       "1                      5.08               34.44            Since 2020  \n",
       "2                      4.81               20.20            Since 2020  \n",
       "1                      3.76               56.33    Since 2020 in Wins  \n",
       "2                      4.21               59.00    Since 2020 in Wins  \n",
       "1                      8.81               23.50  Since 2020 in Losses  \n",
       "2                      6.00               10.50  Since 2020 in Losses  "
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "abd_stats = pd.concat([abd_innings_wise_post_2015, abd_innings_wise_post_2015_in_wins, abd_innings_wise_post_2015_in_losses, abd_innings_wise_post_2019, abd_innings_wise_post_2019_in_wins, abd_innings_wise_post_2019_in_losses])\n",
    "abd_stats['Category'] = ['Since 2016', 'Since 2016', 'Since 2016 in Wins', 'Since 2016 in Wins', 'Since 2016 in Losses', 'Since 2016 in Losses', 'Since 2020', 'Since 2020', 'Since 2020 in Wins', 'Since 2020 in Wins', 'Since 2020 in Losses', 'Since 2020 in Losses']\n",
    "abd_stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "multiple-female",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16,8))\n",
    "sns.set(font_scale=1.4)\n",
    "# sns.set_style('darkgrid')\n",
    "graph = sns.barplot(x='Category', y='Average', hue=abd_stats.index, palette='Reds', data=abd_stats)\n",
    "# plt.legend(bbox_to_anchor=(1, 1), loc=2, borderaxespad=0., title='Average', shadow=True)\n",
    "plt.title(\"ABD's Average Comparison\")\n",
    "plt.xticks(rotation=0);\n",
    "\n",
    "for p in graph.patches:\n",
    "        graph.annotate('{:.2f}'.format(p.get_height()), (p.get_x()+0.2, p.get_height()),\n",
    "                    ha='center', va='bottom',\n",
    "                    color= 'black', fontsize=15)\n",
    "        \n",
    "#'dark:salmon_r', 'crest', 'icefire', "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "thorough-tribune",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16,8))\n",
    "sns.set(font_scale=1.4)\n",
    "# sns.set_style('darkgrid')\n",
    "graph = sns.barplot(x='Category', y='Strike Rate', hue=abd_stats.index, palette='Oranges', data=abd_stats)\n",
    "# plt.legend(bbox_to_anchor=(1, 1), loc=2, borderaxespad=0., title='Average', shadow=True)\n",
    "plt.title(\"ABD's Strike Rate Comparison\")\n",
    "plt.xticks(rotation=0);\n",
    "\n",
    "for p in graph.patches:\n",
    "        graph.annotate('{:.2f}'.format(p.get_height()), (p.get_x()+0.2, p.get_height()),\n",
    "                    ha='center', va='bottom',\n",
    "                    color= 'black', fontsize=15)\n",
    "        \n",
    "#'dark:salmon_r', 'crest', 'icefire', "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "id": "inclusive-yacht",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16,8))\n",
    "sns.set(font_scale=1.4)\n",
    "# sns.set_style('darkgrid')\n",
    "graph = sns.barplot(x='Category', y='Dot%', hue=abd_stats.index, palette='Blues', data=abd_stats)\n",
    "# plt.legend(bbox_to_anchor=(1, 1), loc=2, borderaxespad=0., title='Average', shadow=True)\n",
    "plt.title(\"ABD's Dot % Comparison\")\n",
    "plt.xticks(rotation=0);\n",
    "\n",
    "for p in graph.patches:\n",
    "        graph.annotate('{:.2f}'.format(p.get_height()), (p.get_x()+0.2, p.get_height()),\n",
    "                    ha='center', va='bottom',\n",
    "                    color= 'black', fontsize=15)\n",
    "        \n",
    "#'dark:salmon_r', 'crest', 'icefire', "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "laughing-hundred",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16,8))\n",
    "sns.set(font_scale=1.4)\n",
    "# sns.set_style('darkgrid')\n",
    "graph = sns.barplot(x='Category', y='Balls Per Boundary', hue=abd_stats.index, palette='Greens', data=abd_stats)\n",
    "# plt.legend(bbox_to_anchor=(1, 1), loc=2, borderaxespad=0., title='Average', shadow=True)\n",
    "plt.title(\"ABD's Balls Per Boundary Comparison\")\n",
    "plt.xticks(rotation=0);\n",
    "\n",
    "for p in graph.patches:\n",
    "        graph.annotate('{:.2f}'.format(p.get_height()), (p.get_x()+0.2, p.get_height()),\n",
    "                    ha='center', va='bottom',\n",
    "                    color= 'black', fontsize=15)\n",
    "        \n",
    "#'dark:salmon_r', 'crest', 'icefire', "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "responsible-giant",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "capable-offset",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "earned-brother",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "altered-skill",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}