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Premier League - Player Stats Season - 24/25

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@kaggle.eduardopalmieri_premier_league_player_stats_season_2425

About this Dataset

Premier League - Player Stats Season - 24/25

Premier League Players Performance Dataset

This dataset provides a comprehensive overview of player performance in the Premier League capturing a wide array of metrics related to gameplay, scoring, passing, and defensive actions. With records detailing individual player statistics across different teams, this dataset is a valuable resource for analysts, data scientists, and fans who are interested in diving into player performance data from one of the world’s top soccer leagues.

Each entry represents a single player's profile, featuring data on expected goals (xG), expected assists (xAG), touches, dribbles, tackles, and more. This dataset is ideal for analyzing various aspects of player contribution, both offensively and defensively, and understanding their impact on team performance.

Dataset Columns

Player: Name of the player
Team: Team the player belongs to
'#' : Player's jersey number
Nation: Nationality of the player
Position: Primary playing position on the field
Age: Age of the player
Minutes: Total minutes played
Goals: Number of goals scored
Assists: Number of assists
Penalty Shoot on Goal: Penalty shots taken on goal
Penalty Shoot: Total penalty shots attempted
Total Shoot: Total shots attempted
Shoot on Target: Shots successfully on target
Yellow Cards: Number of yellow cards received
Red Cards: Number of red cards received
Touches: Total ball touches
Dribbles: Total dribbles attempted
Tackles: Total tackles made
Blocks: Total blocks
Expected Goals (xG): Expected goals, calculated based on shooting positions and likelihood of scoring
Non-Penalty xG (npxG): Expected goals excluding penalties
Expected Assists (xAG): Expected assists, based on actions leading to an expected goal (xG)
Shot-Creating Actions: Actions leading to a shot attempt
Goal-Creating Actions: Actions leading to a goal
Passes Completed: Successful passes completed
Passes Attempted: Total passes attempted
Pass Completion %: Pass completion rate, expressed as a percentage (some entries have missing values here)
Progressive Passes: Passes advancing the ball significantly toward the opponent’s goal
Carries: Total ball carries
Progressive Carries: Carries advancing the ball significantly toward the opponent’s goal
Dribble Attempts: Total dribbles attempted
Successful Dribbles: Total successful dribbles
Date: Date of record collection or game date

Potential Use Cases

Data Visualization: Explore relationships between various performance metrics to identify patterns.

Player Comparisons: Compare individual players based on goals, assists, xG, xAG, and other metrics.

Team Analysis: Evaluate contributions of players within the same team to gain insights into team dynamics.

Predictive Modeling: Use the dataset to build models for predicting game outcomes, goals, or assists based on player performance metrics.

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