AishikDasgupta/WorldFootballStats_Report

Analysis of football player stats including goals, assists, key passes, xG, cards, and substitutions for top European leagues and players from 2015-2020.

⚽ Football Player Stats Analysis

Analyzing football ⚽ player performance data 📊 for top European leagues from 2015-2020.

📄 Table of Contents

• About
• Data
• Notebooks
• Visualizations
• Requirements
• Contributing

📋 About

This project focuses on analyzing football player statistics, including:

• Goals Scored ⚽
• Assists 🎯
• Key Passes 🔑
• Expected Goals and Assists ⚖️
• Cards 🃏
• Substitutions 🔄

We are particularly interested in top players from the following leagues:

• English Premier League 🏴󠁧󠁢󠁥󠁮󠁧󠁿
• La Liga 🇪🇸
• Bundesliga 🇩🇪
• Serie A 🇮🇹
• Ligue 1 🇫🇷

📦 Data

The data covers seasons 2015-2020 and has been sourced from reputable websites, including:

• FBRef
• Understat

📓 Notebooks

The following Jupyter notebooks were used for data collection, cleaning, exploratory data analysis (EDA), and statistical analysis:

• 01_data_collection.ipynb
• 02_data_cleaning.ipynb
• 03_eda.ipynb
• 04_analysis.ipynb

📊 Visualizations

We have created interactive visualizations using Python libraries such as Matplotlib, Seaborn, and Plotly to enhance our analysis.

⚙️ Requirements

To run this project, you will need:

• Python 3.6+ 🐍
• Common data science libraries, including:
  • NumPy 📏
  • Pandas 📊
  • Matplotlib 📈
  • Seaborn 🌈

🤝 Contributing

We welcome pull requests and contributions! Please feel free to explore the project and add your own analyses or improvements. world_football_stats.pdf

📜 License

This project is licensed under the MIT License - see the LICENSE file for details.