Football Analytics – Serie A 2017/18

Football Analytics is a comprehensive project designed to collect, analyze, and visualize performance data for football teams and players during the Serie A 2017/18 season. The project uses a sophisticated database structure and machine learning models to provide insights into match events, player actions, and team performance.

🌐 Project Overview

The goal of this project is to build a system that allows for detailed analysis of football events, focusing on Serie A 2017/18 matches. By utilizing Kaggle's Soccer Match Event Dataset and additional data from FBref via web scraping, this project offers:

Data Preprocessing: Cleaning and transforming raw football data.
Database Design: Creating a robust database to store match events, player stats, and more.
Analysis: Detailed analysis of events like passes, shots, and actions during the match.
Visualization: Interactive visualizations of player movements, actions, and performance metrics.

🛠️ Technologies & Tools

Languages: Python
Libraries: Pandas, NumPy, Scikit-learn, mplsoccer, Electron
Database: MongoDB (NoSQL)
Data Sources: Kaggle, FBref
Machine Learning Models: Not specified in the current document
Visualizations: mplsoccer for football-specific data visualizations

📁 Repository Structure

Football_Analytics/
├── code/                     → Source code and implementation files
│
├── dataset.r                 → Compressed dataset (ZIP file, includes all relevant datasets)
│
├── docs/                     → Documentation
│   ├── Football_Analytics.pptx  → PowerPoint presentation about the project
│   ├── Football_Analytics_RAD.pdf  → Requirement Analysis Document
│   └── Project_Documentation_Football_Analytics.pdf  → Final project documentation
│
└── README.md                 → Project documentation (this file)

🚀 How to Use

Clone the repository:

git clone https://github.com/Marco210210/Football-Analytics.git

Download the dataset from Kaggle or via the provided link in the dataset/ directory. The dataset is not included in this repository due to size limitations.
Explore the code in the code/ directory for the data preprocessing and analysis scripts.
The Football_Analytics.pptx file provides an overview of the project, while the PDF documents in docs/ offer detailed documentation and requirement analysis.

📄 Documentation

👥 Contributors

📄 License

This project is licensed under the CC BY-NC-SA 4.0 License

You may share and adapt this work for non-commercial purposes only, as long as you give appropriate credit and distribute your contributions under the same license.
For commercial use, explicit permission from the authors is required.

Marco210210/Football-Analytics