Baselight

FIFA Players Dataset

Data from FIFA with 16k+ players and 100+ attributes

@kaggle.luisfucros_fifa_players

About this Dataset

FIFA Players Dataset

Fifa players dataset

These datasets contain detailed player statistics and attributes for football players as featured in the Sofifa database, which is a widely recognized source of football player data used for simulation and analysis purposes. The dataset includes player-specific information such as personal details, club affiliations, performance metrics, and skill ratings, providing a comprehensive overview of player profiles within the world of football.

Key Features:

  • Player Information: Includes unique player identifiers, names (short and full), positions, nationality, date of birth, age, and physical attributes (height, weight).
  • Club Information: Club team ID, club name, league information (name and level), club position, and contract details (joining date and contract duration).
  • Player Performance and Skills: Ratings and metrics for various skills including pace, shooting, passing, dribbling, defending, and physicality. Additional data for specialized attributes like crossing, heading accuracy, and free kick accuracy.
  • Player Traits and Tags: Traits that define a player's playstyle (e.g., "Speed Dribbler", "Clinical Finisher") and tags that categorize player capabilities.
  • Mentality and Movement: Data on a player's mental attributes such as aggression, composure, and positioning, as well as movement statistics like acceleration, sprint speed, agility, and reactions.
  • Goalkeeping Stats: For players in goalkeeping positions, specific data on goalkeeping attributes like diving, handling, and reflexes.
  • International Data: Information about national team participation including national team ID, position, and jersey number.
  • Visual Assets: URLs to player face images, club logos, and national flags, allowing for visual representation of players and teams.

Example:

The datasets include iconic players like Lionel Messi, providing comprehensive data such as:

  • Overall Rating: 93
  • Potential Rating: 95
  • Market Value: €100.5M
  • Wage: €550K/week
  • Club: FC Barcelona (La Liga)
  • Nationality: Argentina
  • Position: Center Forward (CF)
  • Key Attributes:
  • Pace: 93
  • Dribbling: 96
  • Shooting: 89
  • Passing: 86
  • Physicality: 71

Additionally, player traits like "Clinical Finisher", "Speed Dribbler", and "One Club Player" offer insights into their playing style and impact on the pitch.

Applications:

  • Football Simulation: Ideal for use in building football simulation models (e.g., for video games, fantasy football platforms, and performance analytics).
  • Player Scouting: Offers an extensive resource for scouting players, analyzing potential transfers, or creating player rankings based on specific skillsets.
  • Sports Analytics: Provides valuable data for performing statistical analysis on player performance, team dynamics, and league trends.

Data Columns:

  • Personal Info: sofifa_id, player_url, short_name, long_name, age, dob, height_cm, weight_kg, nationality_name
  • Club Info: club_name, league_name, club_position, club_jersey_number, club_joined, club_contract_valid_until
  • Player Skills: pace, shooting, passing, dribbling, defending, physic
  • Movement & Mentality: movement_acceleration, movement_sprint_speed, mentality_composure, mentality_aggression
  • Goalkeeping (if applicable): goalkeeping_diving, goalkeeping_handling, goalkeeping_kicking
  • Visual Assets: player_face_url, club_logo_url, nation_flag_url

These datasets are a valuable resource for sports data enthusiasts, analysts, and game developers aiming to enrich their football-related projects with rich, player-centric data.

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