I wrote about @jessejdavis.bsky.social, an American computer science professor running an influential soccer analytics research team at an ancient university in Belgium. Much of the leading data analysis is still being done outside soccer. Why? @theguardian.com www.theguardian.com/football/202...

The CfP for the Workshop on Machine Learning and Data Mining for Sports Analytics (MLSA) is out; go check it out! I am honored to contribute to the continuation of MLSA's legacy by helping organize this 12th edition alongside @probberechts.bsky.social, Maaike Van Roy and @azimmerdm.bsky.social.

📣 Excited to share that the Workshop on Machine Learning and Data Mining for Sports Analytics (MLSA) will be held again this September as part of @ecmlpkdd.org! w/ @hugoriosneto.bsky.social, @azimmerdm.bsky.social and Maaike Van Roy dtai.cs.kuleuven.be/events/MLSA25

I built 𝘀𝘁𝗿𝗲𝗮𝗺𝗹𝗶𝘁-𝘀𝗼𝗰𝗰𝗲𝗿, a custom React component for Streamlit for working with soccer tracking data. And a blog post on 𝗕𝗶𝗴 𝗗𝗮𝘁𝗮, 𝗧𝗶𝗻𝘆 𝗧𝗲𝗮𝗺𝘀

Continuing the tradition, I have compiled an end-of-year overview of the soccer analytics content that I liked the most in the past year. The 2024 edition includes pointers to over 160 resources, including research papers, blog posts, articles, podcasts, and books. janvanhaaren.be/posts/soccer...

A football formulation of the fermi paradox – in blog post! Where are the new ideas?

New (first) post on the Central Winger substack. With thoughts on Player Similarity, problems with current approaches, and a path forward.

Made one for soccer analytics dorks go.bsky.app/Hu8kEtH