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Table: Teams
+---------------+----------+ | Column Name | Type | +---------------+----------+ | team_id | int | | team_name | varchar | +---------------+----------+ team_id is the column with unique values of this table. Each row of this table represents a single football team.
Table: Matches
+---------------+---------+ | Column Name | Type | +---------------+---------+ | match_id | int | | host_team | int | | guest_team | int | | host_goals | int | | guest_goals | int | +---------------+---------+ match_id is the column of unique values of this table. Each row is a record of a finished match between two different teams. Teams host_team and guest_team are represented by their IDs in the Teams table (team_id), and they scored host_goals and guest_goals goals, respectively.
You would like to compute the scores of all teams after all matches. Points are awarded as follows:
- A team receives three points if they win a match (i.e., Scored more goals than the opponent team).
- A team receives one point if they draw a match (i.e., Scored the same number of goals as the opponent team).
- A team receives no points if they lose a match (i.e., Scored fewer goals than the opponent team).
Write a solution that selects the team_id
, team_name
and num_points
of each team in the tournament after all described matches.
Return the result table ordered by num_points
in decreasing order. In case of a tie, order the records by team_id
in increasing order.
The result format is in the following example.
Example 1:
Input: Teams table: +-----------+--------------+ | team_id | team_name | +-----------+--------------+ | 10 | Leetcode FC | | 20 | NewYork FC | | 30 | Atlanta FC | | 40 | Chicago FC | | 50 | Toronto FC | +-----------+--------------+ Matches table: +------------+--------------+---------------+-------------+--------------+ | match_id | host_team | guest_team | host_goals | guest_goals | +------------+--------------+---------------+-------------+--------------+ | 1 | 10 | 20 | 3 | 0 | | 2 | 30 | 10 | 2 | 2 | | 3 | 10 | 50 | 5 | 1 | | 4 | 20 | 30 | 1 | 0 | | 5 | 50 | 30 | 1 | 0 | +------------+--------------+---------------+-------------+--------------+ Output: +------------+--------------+---------------+ | team_id | team_name | num_points | +------------+--------------+---------------+ | 10 | Leetcode FC | 7 | | 20 | NewYork FC | 3 | | 50 | Toronto FC | 3 | | 30 | Atlanta FC | 1 | | 40 | Chicago FC | 0 | +------------+--------------+---------------+
We can join the Teams
table and the Matches
table using a left join, where the join condition is team_id = host_team OR team_id = guest_team
, to obtain all the match information for each team.
Next, we group by team_id
and use a CASE
expression to calculate the points for each team according to the following rules:
- If the team is the host team and has more goals than the guest team, add
$3$ points to the team's score. - If the team is the guest team and has more goals than the host team, add
$3$ points to the team's score. - If the host team and the guest team have the same number of goals, add
$1$ point to the team's score.
Finally, we sort the result by points in descending order, and if the points are the same, we sort by team_id
in ascending order.
# Write your MySQL query statement below
SELECT
team_id,
team_name,
SUM(
CASE
WHEN team_id = host_team
AND host_goals > guest_goals THEN 3
WHEN team_id = guest_team
AND guest_goals > host_goals THEN 3
WHEN host_goals = guest_goals THEN 1
ELSE 0
END
) AS num_points
FROM
Teams
LEFT JOIN Matches ON team_id = host_team OR team_id = guest_team
GROUP BY 1
ORDER BY 3 DESC, 1;