| comments | difficulty | edit_url | tags | |
|---|---|---|---|---|
true |
Medium |
|
Table: Teams
+----------------+---------+ | Column Name | Type | +----------------+---------+ | team_id | int | | team_name | varchar | +----------------+---------+ team_id is the column with unique values for this table. Each row contains information about one team in the league.
Table: Matches
+-----------------+---------+ | Column Name | Type | +-----------------+---------+ | home_team_id | int | | away_team_id | int | | home_team_goals | int | | away_team_goals | int | +-----------------+---------+ (home_team_id, away_team_id) is the primary key (combination of columns with unique values) for this table. Each row contains information about one match. home_team_goals is the number of goals scored by the home team. away_team_goals is the number of goals scored by the away team. The winner of the match is the team with the higher number of goals.
Write a solution to report the statistics of the league. The statistics should be built using the played matches where the winning team gets three points and the losing team gets no points. If a match ends with a draw, both teams get one point.
Each row of the result table should contain:
team_name- The name of the team in theTeamstable.matches_played- The number of matches played as either a home or away team.points- The total points the team has so far.goal_for- The total number of goals scored by the team across all matches.goal_against- The total number of goals scored by opponent teams against this team across all matches.goal_diff- The result ofgoal_for - goal_against.
Return the result table ordered by points in descending order. If two or more teams have the same points, order them by goal_diff in descending order. If there is still a tie, order them by team_name in lexicographical order.
The result format is in the following example.
Example 1:
Input: Teams table: +---------+-----------+ | team_id | team_name | +---------+-----------+ | 1 | Ajax | | 4 | Dortmund | | 6 | Arsenal | +---------+-----------+ Matches table: +--------------+--------------+-----------------+-----------------+ | home_team_id | away_team_id | home_team_goals | away_team_goals | +--------------+--------------+-----------------+-----------------+ | 1 | 4 | 0 | 1 | | 1 | 6 | 3 | 3 | | 4 | 1 | 5 | 2 | | 6 | 1 | 0 | 0 | +--------------+--------------+-----------------+-----------------+ Output: +-----------+----------------+--------+----------+--------------+-----------+ | team_name | matches_played | points | goal_for | goal_against | goal_diff | +-----------+----------------+--------+----------+--------------+-----------+ | Dortmund | 2 | 6 | 6 | 2 | 4 | | Arsenal | 2 | 2 | 3 | 3 | 0 | | Ajax | 4 | 2 | 5 | 9 | -4 | +-----------+----------------+--------+----------+--------------+-----------+ Explanation: Ajax (team_id=1) played 4 matches: 2 losses and 2 draws. Total points = 0 + 0 + 1 + 1 = 2. Dortmund (team_id=4) played 2 matches: 2 wins. Total points = 3 + 3 = 6. Arsenal (team_id=6) played 2 matches: 2 draws. Total points = 1 + 1 = 2. Dortmund is the first team in the table. Ajax and Arsenal have the same points, but since Arsenal has a higher goal_diff than Ajax, Arsenal comes before Ajax in the table.
# Write your MySQL query statement below
WITH
Scores AS (
SELECT
home_team_id AS team_id,
CASE
WHEN home_team_goals > away_team_goals THEN 3
WHEN home_team_goals < away_team_goals THEN 0
ELSE 1
END AS score,
home_team_goals AS goals,
away_team_goals AS away_goals
FROM Matches
UNION ALL
SELECT
away_team_id AS team_id,
CASE
WHEN home_team_goals > away_team_goals THEN 0
WHEN home_team_goals < away_team_goals THEN 3
ELSE 1
END AS score,
away_team_goals AS goals,
home_team_goals AS away_goals
FROM Matches
)
SELECT
team_name,
COUNT(1) AS matches_played,
SUM(score) AS points,
SUM(goals) AS goal_for,
SUM(away_goals) AS goal_against,
(SUM(goals) - SUM(away_goals)) AS goal_diff
FROM
Scores AS s
JOIN Teams AS t ON s.team_id = t.team_id
GROUP BY s.team_id
ORDER BY points DESC, goal_diff DESC, team_name;