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european_soccer

The ultimate Soccer database for data analysis and machine learning Kaggle

  • +25,000 matches
  • +10,000 players
  • 11 European Countries with their lead championship
  • Seasons 2008 to 2016
  • Players and Teams' attributes* sourced from EA Sports' FIFA video game series, including the weekly updates
  • Team line up with squad formation (X, Y coordinates)
  • Betting odds from up to 10 providers
  • Detailed match events (goal types, possession, corner, cross, fouls, cards etc…) for +10,000 matches

Original Data Source:

You can easily find data about soccer matches but they are usually scattered across different websites. A thorough data collection and processing has been done to make your life easier. I must insist that you do not make any commercial use of the data. The data was sourced from:

enetscores : scores, lineup, team formation and events

betting odds :Click to understand the column naming system for betting odds:

players and teams attributes : from EA Sports FIFA games. FIFA series and all FIFA assets property of EA Sports.

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use SQL language to write queries that would pull data from the DB, manipulate it, sort it, and extract it and visualize features by Seaborn and Plotly

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