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I trained a ML model to detect positional vulnerabilities(Leakages) in a Football game. Here's it running on a Live game.
v.redd.it/c5w4i647dlzf1
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AC Milan beats Sampdoria a man down and sits on the top of the Serie A table (Full article in image link)
datasciencefootaball.blogspot.com/2022/09/ac-...
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Hi everyone,
I'm interested in getting into Sports Data Analytics, especially for Football. My background is in data science, but I'm new to the sports analytics domain.
I'm looking for recommendations on:
- Free software/tools used in sports analytics
- Where to find free sports datasets (StatsBomb, Kaggle, etc.)
- Beginner-friendly projects to build a portfolio
- YouTube channels, courses, blogs, or books worth following
- Visualization tools commonly used in the industry
- Any open-source projects I can contribute to
I'd also love to hear from anyone working in sports analytics:
- How did you get started?
- What skills are most valuable?
- What do you wish you had learned earlier
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