Some good ideas in here. There are many opportunities to work “in football” (or another sport) without working directly for a club.

Has anyone else put a win probability graph on a T-shirt before? to be clear, I did not do this but BreakingT did. breakingt.com #GoGators #WinProbability #SportsAnalytics

For those looking for football (soccer) data to explore:

A quick hit on public radio about what we are doing with AI and analytics in sports at UF. linkedin.com/posts/universi…

Pro/con of soccer (vs American football. You can pretty much be guaranteed that a soccer match is over in 2 hours, vs 3+ for a football game. But there’s only one food and restroom break (halftime).

Watching the Zeigler Lecture by Dr. Damon Andrew at the 2025 NASSM conference. Learning much about the reputation and legitimacy of the Sport Management academic discipline.

Someone may have their concepts of eat and drink reversed.

Guidelines for “Explaining Stats to Normies,” from Sara Ziegler at the Iowa State University Conference on Predictive Inference in Sports: 1. Know your audience. 2. Avoid obstacles. 3. Explain the problem. 4. Tell a story. 5. Test it with a normie.

9 innings, 119 pitches, 0 hits, 19 strikeouts, 1 walk. Oh so close to a perfect game for Arkansas’ Gage Wood in the CWS. nytimes.com/athletic/64304…

A great developmental opportunity here.

Recent work with some of my students. See how technology, data, and analytics is being used in baseball!

What’s the equivalent of a Python tuple in R? My initial thought was a list. Both are ordered collections of elements, and can contain different types. But they are not quite the same. A tuple is immutable while a list is mutable. But you can avoid modifying it by convention.

True. And funny.

This is my favorite #SportsAnalytics conference of the year! Great content and well-organized.

Thanks for sharing the word about what we are doing in the UF Sports Analytics Lab Lab!