This dataset contains detailed performance metrics, contract details, and market value trends for 12,952 football players. The data spans multiple years, covering key statistics such as goals, assists, appearances, and disciplinary records.
The dataset consists of 64 columns, categorized into the following groups:
id- Unique identifier for each player.name- Full name of the player.dateOfBirth- Player's date of birth.Age- Current age of the player.Height- Player's height (in meters).Foot- Preferred foot (Left/Right).Position- Primary playing position.OtherPosition- Additional positions the player can play.National- Player’s nationality.
Club_name- Current club of the player.ContractExpiry- Expiration date of the current contract.ContractOption- Additional contract details (if applicable).Outfitter- Brand sponsoring the player's kit (if available).
Performance metrics are recorded for multiple years (2020-2025), indicated by the prefix (20, 21, 22, etc.). Each year contains:
YC- Yellow Cards.YC2- Second Yellow Cards.RC- Red Cards.G- Goals scored.A- Assists.MP- Minutes played.AP- Appearances.
Example:
20G- Goals scored in 2020.21MP- Minutes played in 2021.
MarketValue- Current estimated market value of the player.2020AvgMV,2021AvgMV,2022AvgMV,2023AvgMV,2024AvgMV,2025AvgMV- Average market value for each year.
Ranking- Player ranking based on performance.TotalCups- Total number of cups/titles won.
This dataset is useful for:
- Player Performance Analysis - Evaluate player statistics over multiple seasons.
- Market Value Prediction - Analyze trends in player valuation.
- Club and Transfer Analytics - Assess the impact of players in different clubs.
- Fantasy Football & Sports Betting Models - Build predictive models based on historical performance data.