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This video on Football/Soccer Data Analytics is the introduction to the world of football analytics. It covers football data sources, key packages for football data analytics, and tools that enable us to dive deep into football data, transforming it into insights and stories that enrich our understanding of the sport. You can show your support by buying me a virtual coffee on https://www.buymeacoffee.com/ciao.football Your support will help me continue to provide you with quality insights, tutorials, and resources for the world of football analytics. ► Getting Started with Football Data Analysis Using Python: https://www.buymeacoffee.com/ciao.football/e/186854 Contents: 0:00 Introduction to Football/Soccer Data Analytics with Python workshop 02:09 Football Analytics workshop plan 02:48 Introduction to Python for Football 04:27 Football/Soccer data sources & approaches 06:39 Data & Football analytics Python packages & libriaries 09:03 Football data analytics example in Jupyter Notebook 09:19 Importing data analytics & visualization libraries 09:35 Connecting to football data source 10:24 Transforming JSON to DataFrame 11:09 Filtering out necessary football data for visualization 12:15 Creating/drawing a football pitch 13:59 Creating/drawing a Pass Map 15:33 Creating/drawing a Pass Map by a player 17:37 Creating/drawing a Shots Map 19:59 Creating/drawing a Possession Chart 21:21 Football/Soccer Data Analytics workshop summary Useful links: - Football Visualizations and Football Maps: https://www.youtube.com/playlist?list=PL7uOLIiQqtTtEQDG4WAz1gCoSqPQAaNEO - StatsBomb Open Data: https://github.com/statsbomb/open-data - mplsoccer Pithc plotting: https://mplsoccer.readthedocs.io/en/latest/gallery/pitch_setup/plot_pitches.html - Getting Started with Football / Soccer Data API: https://www.youtube.com/playlist?list=PL7uOLIiQqtTttfZYJA7c95u2Ktt_eIzP9 Buy me a virtual coffee: https://www.buymeacoffee.com/ciao.football
