Dataset: Football Players Stats

About this Dataset

Football Players Stats

This dataset provides a summary of performance metrics for professional football players across various clubs and positions. It is ideal for analyzing player performance and drawing insights into their contributions during matches.

Key Features:

Player Name: The full name of the player.

Position: The role played on the field (e.g., Forward, Midfielder, Defender, Goalkeeper).

Club: The current football club representing the player.

Age: Player's age at the time of data collection.

Matches Played: The total number of matches participated in during the season.

Goals: The total number of goals scored by the player.

Assists: The total number of assists provided by the player.

Yellow Cards: The count of yellow cards received for infractions.

Red Cards: The count of red cards received.

Pass Accuracy (%): The percentage of successful passes completed by the player.

Tackles: The total number of tackles performed.

Market Value (€M): An estimate of the player's market value in millions of euros.

Use Cases:

Analyzing player performance across multiple metrics.
Identifying key players in specific positions or clubs.
Assessing disciplinary records and on-field behavior.
Comparing market values and their correlation with performance.
This dataset is suitable for sports analytics, visualization projects, and machine learning applications.

Tables

Football Players Stats

@kaggle.febinjoy98_football_players_stats.football_players_stats

12.46 KB
17 rows
16 columns


CREATE TABLE football_players_stats (
  "player_name" VARCHAR,
  "team" VARCHAR,
  "position" VARCHAR,
  "age" BIGINT,
  "matches_played" BIGINT,
  "goals" BIGINT,
  "assists" BIGINT,
  "yellow_cards" BIGINT,
  "red_cards" BIGINT,
  "minutes_played" BIGINT,
  "pass_accuracy" DOUBLE,
  "tackles" BIGINT,
  "interceptions" BIGINT,
  "shots_on_target" BIGINT,
  "fouls_won" BIGINT,
  "dribbles_completed" BIGINT
);