Extraction and Analysis of FBRef Data Player

This repository provides tools to extract data from FBRef for all teams and players and to compare the best players in a specific league with the best players in Europe based on various dataset variables. You can find the dataset inside this Kaggle repository: https://www.kaggle.com/datasets/marcodiomedi/teams-and-players-stats-from-fbref/data

Contents

• 2023-2024: Contains data from the top 5 leagues in Europe, Eredivisie, Brazilian Serie A, and Segunda Division from Spain.
• analysis: A notebook containing functions and examples for comparing players from a specific league with players from the top 5 leagues in Europe.
• fbref_scout_extraction_script: A script for scraping FBRef data, complete with functions and examples.
• scraper_for_players_best5leagues: A notebook containing an example scraper for the FBRef section with data of players from the top 5 leagues.
• variables_used_for_players.txt: List and explanation of variables used for players analysis, in english and italian.

How to Use

1. Data Extraction:

   • Use the fbref_scout_extraction_script or scraper_for_players_best5leagues to scrape data from FBRef.
   • Follow the examples provided in the script to customize your data extraction process.

2. Data Analysis:

   • Open the analysis notebook to access functions and examples for analyzing player data.
   • Compare players from a specific league with the top players from the top 5 European leagues using the provided examples.

Contributing

If you encounter any issues or have suggestions for improvements, please leave a message. Your feedback is highly appreciated and will help enhance the tools provided in this repository.