Baselight

Potential Stars: Predicting Football Player Prices

Identify the most important FIFA attributes when determining a player's price

@kaggle.thedevastator_footballpriceprediction

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About this Dataset

Potential Stars: Predicting Football Player Prices

Football Players Price Prediction


Credit: Data source

This dataset is a player-by-player dataset based on the FIFA dataset as well as some additional features about each player, It contains attributes from FIFA to determine the price of a football player.
The data is scraped from transfermarkt to take the football players football valuation and is used to identify the most important FIFA attributes when determining the price of a football player

How to use the data

This dataset is in a CSV format. The CSV file contains information about the values of all football football players, headings are present and the CSV can be opened with any data viewer. To find out more about a player the player ID on transfermarkt.com can be used along with the same name.

Tables

Footballdata

@kaggle.thedevastator_footballpriceprediction.footballdata
  • 2.74 MB
  • 18944 rows
  • 106 columns
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CREATE TABLE footballdata (
  "sofifa_id" BIGINT,
  "player_url" VARCHAR,
  "short_name" VARCHAR,
  "long_name" VARCHAR,
  "age" BIGINT,
  "dob" TIMESTAMP,
  "height_cm" BIGINT,
  "weight_kg" BIGINT,
  "nationality" VARCHAR,
  "club_name" VARCHAR,
  "league_name" VARCHAR,
  "league_rank" DOUBLE,
  "overall" BIGINT,
  "potential" BIGINT,
  "value_eur" BIGINT,
  "wage_eur" BIGINT,
  "player_positions" VARCHAR,
  "preferred_foot" VARCHAR,
  "international_reputation" BIGINT,
  "weak_foot" BIGINT,
  "skill_moves" BIGINT,
  "work_rate" VARCHAR,
  "body_type" VARCHAR,
  "real_face" VARCHAR,
  "release_clause_eur" DOUBLE,
  "player_tags" VARCHAR,
  "team_position" VARCHAR,
  "team_jersey_number" DOUBLE,
  "loaned_from" VARCHAR,
  "joined" TIMESTAMP,
  "contract_valid_until" DOUBLE,
  "nation_position" VARCHAR,
  "nation_jersey_number" DOUBLE,
  "pace" DOUBLE,
  "shooting" DOUBLE,
  "passing" DOUBLE,
  "dribbling" DOUBLE,
  "defending" DOUBLE,
  "physic" DOUBLE,
  "gk_diving" DOUBLE,
  "gk_handling" DOUBLE,
  "gk_kicking" DOUBLE,
  "gk_reflexes" DOUBLE,
  "gk_speed" DOUBLE,
  "gk_positioning" DOUBLE,
  "player_traits" VARCHAR,
  "attacking_crossing" BIGINT,
  "attacking_finishing" BIGINT,
  "attacking_heading_accuracy" BIGINT,
  "attacking_short_passing" BIGINT,
  "attacking_volleys" BIGINT,
  "skill_dribbling" BIGINT,
  "skill_curve" BIGINT,
  "skill_fk_accuracy" BIGINT,
  "skill_long_passing" BIGINT,
  "skill_ball_control" BIGINT,
  "movement_acceleration" BIGINT,
  "movement_sprint_speed" BIGINT,
  "movement_agility" BIGINT,
  "movement_reactions" BIGINT,
  "movement_balance" BIGINT,
  "power_shot_power" BIGINT,
  "power_jumping" BIGINT,
  "power_stamina" BIGINT,
  "power_strength" BIGINT,
  "power_long_shots" BIGINT,
  "mentality_aggression" BIGINT,
  "mentality_interceptions" BIGINT,
  "mentality_positioning" BIGINT,
  "mentality_vision" BIGINT,
  "mentality_penalties" BIGINT,
  "mentality_composure" BIGINT,
  "defending_marking" VARCHAR,
  "defending_standing_tackle" BIGINT,
  "defending_sliding_tackle" BIGINT,
  "goalkeeping_diving" BIGINT,
  "goalkeeping_handling" BIGINT,
  "goalkeeping_kicking" BIGINT,
  "goalkeeping_positioning" BIGINT,
  "goalkeeping_reflexes" BIGINT,
  "ls" VARCHAR,
  "st" VARCHAR,
  "rs" VARCHAR,
  "lw" VARCHAR,
  "lf" VARCHAR,
  "cf" VARCHAR,
  "rf" VARCHAR,
  "rw" VARCHAR,
  "lam" VARCHAR,
  "cam" VARCHAR,
  "ram" VARCHAR,
  "lm" VARCHAR,
  "lcm" VARCHAR,
  "cm" VARCHAR,
  "rcm" VARCHAR,
  "rm" VARCHAR,
  "lwb" VARCHAR,
  "ldm" VARCHAR,
  "cdm" VARCHAR,
  "rdm" VARCHAR
);

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