Is Premier League Table Ranking III easy or hard?

The problem is typically rated Medium because it requires familiarity with SQL window functions. Developers comfortable with RANK(), DENSE_RANK(), and ORDER BY clauses usually solve it quickly, but it can be challenging if you have not worked with analytic SQL functions before.

Premier League Table Ranking III Python/Java solution

In SQL environments such as MySQL, use RANK() or DENSE_RANK() over an ORDER BY clause. In Python, load the data into a Pandas DataFrame, sort using sort_values(), and compute positions with rank(). Both approaches rely on sorting followed by ranking.

How to solve Premier League Table Ranking III in O(n)?

Achieving true O(n) is unlikely because ranking requires ordered results. Database engines generally perform a sort before applying RANK() or DENSE_RANK(), which leads to O(n log n) complexity. The optimal practical solution uses a window function after sorting by the ranking columns.

What is the best approach for Premier League Table Ranking III?

The standard solution uses SQL window functions such as RANK() or DENSE_RANK() with an ORDER BY clause on the ranking criteria (points and tie‑breakers). This approach lets the database compute the leaderboard directly after sorting the teams. Time complexity is O(n log n) because the rows must be ordered before ranking.

Is Premier League Table Ranking III asked at Google/Amazon/Meta?

Ranking and leaderboard problems using SQL window functions are common in data and analytics interviews at companies like Amazon, Google, and Meta. Variants often ask candidates to compute ranks, dense ranks, or top performers using SQL queries.

What data structure is used in Premier League Table Ranking III?

The problem primarily relies on relational table operations and SQL window functions. Internally, the database engine sorts rows and assigns ranks across the ordered partition. No explicit data structures are required beyond the table and the ordered result set.

What is the time complexity of Premier League Table Ranking III?

The dominant operation is sorting the teams by points and other tie‑breakers. Sorting requires O(n log n) time, while the ranking step using a window function runs in linear time over the sorted rows. Space complexity is typically O(n) for the result set.

3322. Premier League Table Ranking III - Practice Online

Table: SeasonStats

+------------------+---------+
| Column Name      | Type    |
+------------------+---------+
| season_id        | int     |
| team_id          | int     |
| team_name        | varchar |
| matches_played   | int     |
| wins             | int     |
| draws            | int     |
| losses           | int     |
| goals_for        | int     |
| goals_against    | int     |
+------------------+---------+
(season_id, team_id) is the unique key for this table.
This table contains season id, team id, team name, matches played, wins, draws, losses, goals scored (goals_for), and goals conceded (goals_against) for each team in each season.

Write a solution to calculate the points, goal difference, and position for each team in each season. The position ranking should be determined as follows:

Teams are first ranked by their total points (highest to lowest)
If points are tied, teams are then ranked by their goal difference (highest to lowest)
If goal difference is also tied, teams are then ranked alphabetically by team name

Points are calculated as follows:

3 points for a win
1 point for a draw
0 points for a loss

Goal difference is calculated as: goals_for - goals_against

Return the result table ordered by season_id in ascending order, then by position in ascending order, and finally by team_name in ascending order.

The query result format is in the following example.

Example:

Input:

SeasonStats table:

+------------+---------+-------------------+----------------+------+-------+--------+-----------+---------------+
| season_id  | team_id | team_name         | matches_played | wins | draws | losses | goals_for | goals_against |
+------------+---------+-------------------+----------------+------+-------+--------+-----------+---------------+
| 2021       | 1       | Manchester City   | 38             | 29   | 6     | 3      | 99        | 26            |
| 2021       | 2       | Liverpool         | 38             | 28   | 8     | 2      | 94        | 26            |
| 2021       | 3       | Chelsea           | 38             | 21   | 11    | 6      | 76        | 33            |
| 2021       | 4       | Tottenham         | 38             | 22   | 5     | 11     | 69        | 40            |
| 2021       | 5       | Arsenal           | 38             | 22   | 3     | 13     | 61        | 48            |
| 2022       | 1       | Manchester City   | 38             | 28   | 5     | 5      | 94        | 33            |
| 2022       | 2       | Arsenal           | 38             | 26   | 6     | 6      | 88        | 43            |
| 2022       | 3       | Manchester United | 38             | 23   | 6     | 9      | 58        | 43            |
| 2022       | 4       | Newcastle         | 38             | 19   | 14    | 5      | 68        | 33            |
| 2022       | 5       | Liverpool         | 38             | 19   | 10    | 9      | 75        | 47            |
+------------+---------+-------------------+----------------+------+-------+--------+-----------+---------------+

Output:

+------------+---------+-------------------+--------+-----------------+----------+
| season_id  | team_id | team_name         | points | goal_difference | position |
+------------+---------+-------------------+--------+-----------------+----------+
| 2021       | 1       | Manchester City   | 93     | 73              | 1        |
| 2021       | 2       | Liverpool         | 92     | 68              | 2        |
| 2021       | 3       | Chelsea           | 74     | 43              | 3        |
| 2021       | 4       | Tottenham         | 71     | 29              | 4        |
| 2021       | 5       | Arsenal           | 69     | 13              | 5        |
| 2022       | 1       | Manchester City   | 89     | 61              | 1        |
| 2022       | 2       | Arsenal           | 84     | 45              | 2        |
| 2022       | 3       | Manchester United | 75     | 15              | 3        |
| 2022       | 4       | Newcastle         | 71     | 35              | 4        |
| 2022       | 5       | Liverpool         | 67     | 28              | 5        | 
+------------+---------+-------------------+--------+-----------------+----------+

Explanation:

For the 2021 season:
- Manchester City has 93 points (29 * 3 + 6 * 1) and a goal difference of 73 (99 - 26).
- Liverpool has 92 points (28 * 3 + 8 * 1) and a goal difference of 68 (94 - 26).
- Chelsea has 74 points (21 * 3 + 11 * 1) and a goal difference of 43 (76 - 33).
- Tottenham has 71 points (22 * 3 + 5 * 1) and a goal difference of 29 (69 - 40).
- Arsenal has 69 points (22 * 3 + 3 * 1) and a goal difference of 13 (61 - 48).
For the 2022 season:
- Manchester City has 89 points (28 * 3 + 5 * 1) and a goal difference of 61 (94 - 33).
- Arsenal has 84 points (26 * 3 + 6 * 1) and a goal difference of 45 (88 - 43).
- Manchester United has 75 points (23 * 3 + 6 * 1) and a goal difference of 15 (58 - 43).
- Newcastle has 71 points (19 * 3 + 14 * 1) and a goal difference of 35 (68 - 33).
- Liverpool has 67 points (19 * 3 + 10 * 1) and a goal difference of 28 (75 - 47).
The teams are ranked first by points, then by goal difference, and finally by team name.
The output is ordered by season_id ascending, then by rank ascending, and finally by team_name ascending.