Football Players Stats
Comprehensive Football Player Statistics
@kaggle.febinjoy98_football_players_stats
Comprehensive Football Player Statistics
@kaggle.febinjoy98_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.
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 -- Pass Accuracy (%),
"tackles" BIGINT,
"interceptions" BIGINT,
"shots_on_target" BIGINT,
"fouls_won" BIGINT,
"dribbles_completed" BIGINT
);Anyone who has the link will be able to view this.