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<h1 id="top" align="center"> Edd Webster Football Analytics</h1>
<a href="https://github.com/eddwebster/football_analytics"><img src="img/edd_webster/edd_webster_analytics_logo_black_nobg.png" width="35%", alt="Edd Webster Analytics"></a>
<h3 align="center">A space for football analytics projects by <a href="https://twitter.com/eddwebster">Edd Webster</a>, including a curated list of publicly available resources published by the football analytics community </h3>
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<a href="https://trackgit.com"><img src="https://us-central1-trackgit-analytics.cloudfunctions.net/token/ping/l3eer806ippht6pvejl3" alt="trackgit-views" /></a>
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<!-- ABOUT THE REPOSITORY AND AUTHOR -->
<h2 id="about-the-repository-and-author"> 👋 About This Repository and Author</h2>
The README of this repository is a resources guide of learning materials, data sources, libraries, papers, blogs, , etc., created by all those that have made contributions to the open source football analytics community. This GitHub repository and resources list is always a work in progress, with new resources added semi-regularly. If you feel there's any resource(s) that I have missed, please feel free to create a pull request or send me a message on the links above and I'll get back to you as quick as I can!
If you like the repo, please feel free to give it a ⭐ (top right). Cheers!
For more information about this repository and the author, see the following:
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<h2 id="table-of-contents"> 📍 Table of Contents</h2>
<details open="open">
<summary>Table of Contents</summary>
<ol>
<li><a href="#about-the-repository-and-author">👋 About This Repository and Author</a></li>
<li><a href="#table-of-contents">📍 Table of Contents</a></li>
<li><a href="#getting-started"> 🚀 Getting Started</a></li>
<li><a href="#repository-structure">🌵 Repository Structure</a></li>
<li><a href="#code">📚 Source Code and Notebooks</a></li>
<li><a href="#data-visualisation-and-tableau-dashboards">📈 Data Visualisation and Tableau</a></li>
<li>
<a href="#resources">📑 Resources</a>
<ul>
<li><a href="#other-resources-guides">🔖 Other Resources Guides</a></li>
<li><a href="#getting-started">🏃 Getting Started with Football Analytics</a></li>
<li><a href="#data">💾 Data</a></li>
<ul>
<li><a href="#data-sources">Data Sources</a></li>
<ul>
<li><a href="#data-sources-event">Event data</a></li>
<li><a href="#data-sources-tracking">Tracking data</a></li>
<li><a href="#data-sources-broadcast-tracking">Broadcast Tracking data</a></li>
<li><a href="#data-sources-agg">Aggregated Player/Team Performance data</a></li>
<li><a href="#data-sources-team-rating">Team Rating data</a></li>
<li><a href="#data-sources-physical">Physical data</a></li>
<li><a href="#data-sources-results">Results and Matchsheet data</a></li>
<li><a href="#data-sources-financial">Financial, Valuation, and Transfer data</a></li>
<li><a href="#data-sources-odds">Odds, Betting, and Predictions data</a></li>
<li><a href="#data-sources-plotting">Plotting tools</a></li>
<li><a href="#data-sources-reference">Reference data</a></li>
<li><a href="#data-sources-miscellaneous">Miscellaneous data</a></li>
</ul>
<li><a href="#data-documentation">Documentation</a></li>
<li><a href="#data-companies">Data Companies and Types</a></li>
</ul>
<li><a href="#tutorials">🧑🎓 Tutorials</a></li>
<ul>
<li><a href="#tutorials-python">Python</a></li>
<li><a href="#tutorials-r">R</a></li>
<li><a href="#tutorials-tableau">Tableau</a></li>
<li><a href="#tutorials-powerbi">Power BI</a></li>
<li><a href="#tutorials-sql">SQL</a></li>
<li><a href="#tutorials-excel">Excel</a></li>
<li><a href="#tutorials-powerpoint">PowerPoint</a></li>
</ul>
<li><a href="#libraries">🏛️ Libraries</a></li>
<ul>
<li><a href="#libraries-python">Python</a></li>
<li><a href="#libraries-r">R</a></li>
</ul>
<li><a href="#github-repos">📁 GitHub Repositories</a></li>
<ul>
<li><a href="#github-repos-python">Python</a></li>
<li><a href="#github-repos-r">R</a></li>
<li><a href="#github-repos-other-languages">Other Languages</a></li>
<li><a href="#github-repos-no-language-specified">No Language Specified</a></li>
</ul>
<li><a href="#apps">📱 Apps</a></li>
<li><a href="#data-visualisation-resources-and-tools">📊 Data Visualisation Resources and Tools</a></li>
<ul>
<li><a href="#data-visualisation-resources-and-tools-tutorials">Tutorials</a></li>
<li><a href="#data-visualisation-resources-and-tools-repos-and-libraries">Repos and Libraries</a></li>
<li><a href="#data-visualisation-resources-and-tools-resources">Resources</a></li>
</ul>
<li>
<a href="#written-pieces">✒️ Written Pieces</a></li>
<ul>
<li><a href="#blogs">Blogs</a></li>
<li><a href="#papers">Papers</a></li>
<li><a href="#newsletters">Newsletters</a></li>
<li><a href="#news-articles">News Articles</a></li>
<li><a href="#books">Books</a></li>
<li><a href="#magazines">Magazines</a></li>
</ul>
<li>
<a href="#video">📼 Video</a></li>
<ul>
<li><a href="#youtube-playlists">YouTube Playlists</a></li>
<li><a href="#youtube-channels">YouTube Channels</a></li>
<li><a href="#video-analysis">Video Analysis</a></li>
<li><a href="#webinars-and-lectures">Webinars and Lectures</a></li>
<li><a href="#ted-talks">Ted Talks</a></li>
<li><a href="#documentaries">Documentaries</a></li>
<li><a href="#match-highlights">Match Highlights</a></li>
<li><a href="#video-other">Other</a></li>
</ul>
<li><a href="#">🔊 Podcasts</a></li>
<li><a href="#notable-figures-and-twitter-accounts">👨💻 Notable Figures and Twitter Accounts</a></li>
<li><a href="#events-and-conferences">🗓️ Events and Conferences</a></li>
<li><a href="#competitions">🏆 Competitions</a></li>
<li><a href="#courses">🧑🏫 Courses</a></li>
<li><a href="#jobs">💼 Jobs</a></li>
<li><a href="#discord-slack-groups">💬 Discord / Slack Groups</a></li>
<li>
<a href="#key-concepts">🔑 Key Concepts</a></li>
<ul>
<li><a href="#history-of-football-analytics">History of Football Analytics</a></li>
<li><a href="#xg-modeling">Expected Goals (xG) Modeling</a></li>
<li><a href="#scraping">Web Scraping Football Data</a></li>
<li><a href="#tracking-data">Tracking Data</a></li>
<li><a href="#pitch-control-modeling">Pitch Control Modeling</a></li>
<li><a href="#passing-networks">Passing Networks</a></li>
<li><a href="#pv-frameworks">Possession Value (PV) Frameworks</a></li>
<ul>
<li><a href="#pv-frameworks-general">General</a></li>
<li><a href="#pv-frameworks-xt">Expected Threat (xT)</a></li>
<li><a href="#pv-frameworks-vaep">Valuing Actions by Estimating Probabilities (VAEP)</a></li>
<li><a href="#pv-frameworks-g+ral">Goals Added (g+)</a></li>
<li><a href="#pv-frameworks-obv">On-Ball Value (OBV)</a></li>
</ul>
<li><a href="#dixon-coles">Dixon Coles Modeling</a></li>
<li><a href="#player-similarity-and-style-analysis">Player Similarity and Style Analysis</a></li>
<li><a href="#team-playing-style-analysis">Team Playing Style Analysis</a></li>
<li><a href="#player-rating-modelling">Player Rating</a></li>
<li><a href="#rl-for-football-simulation">Reinforcement Learning for Football Simulation</a></li>
<li><a href="#set-pieces">Set Pieces</a></li>
<li><a href="#radars">Radars</a></li>
<li><a href="#recruitment-analysis">Recruitment Analysis</a></li>
<li><a href="#player-valuation">Player Valuation Modeling</a></li>
<li><a href="#relative-league-strength">Quantifying Relative Club and League Strength</a></li>
<li><a href="#tactics">Tactics</a></li>
<ul>
<li><a href="#tactics-counter-attacking">Counter Attacking</a></li>
<li><a href="#tactics-pressing">Pressing</a></li>
<li><a href="#tactics-counter-pressing">Counter Pressing</a></li>
</ul>
<li><a href="#game-win-probability-modeling">Game Win Probability Modelling</a></li>
<li><a href="#goalkeeper-analysis">Goalkeeper Analysis</a></li>
</ul>
</li>
</ul>
</li>
<li><a href="#citations">🗣️ Citations</a></li>
<li><a href="#contributing">🤝 Contributing</a></li>
<li><a href="#star-tracker">⭐ Star Tracker</a></li>
<li><a href="#acknowledgements">👏 Acknowledgements</a></li>
</ol>
</details>
<!-- GETTING STARTED -->
<h2 id="getting-started"> 🚀 Getting Started</h2>
<h3 id="getting-started-dependencies"> ✅ Dependencies</h3>
The code in this repository is written in a mix of both Python and R. Before you begin, ensure that you have the following prerequisites installed:
- Python (ideally 3.6.1+ installed)
- R (ideally 4.0.4+ installed)
- The following Python and R libraries...
<h4 id="getting-started-dependencies-python"> 🐍 Python</h3>
General Python data science libraries:
Football analytics Python libraries:
