I’m Jeremy Betz. I work at the intersection of data science, quantitative research, education, and football (soccer).

I studied Statistics and Economics at the University of Wisconsin–Madison, completed data science training at Metis, and am currently pursuing an M.S. in Data Science at the University of Colorado Boulder.

The common thread through most of what interests me is trying to understand how complicated systems work. I like breaking problems into measurable pieces, studying how those pieces interact, testing explanations, and figuring out what the evidence actually supports.

Football is a natural place to do that work. I have coached soccer for more than a decade, and my current research uses tracking data to study localized defensive reorganization and carrier-to-receiver option networks. Coaching has also made the questions feel practical: the value of an explanation is not only whether it is technically sound, but whether it helps someone see the game more clearly.

Outside football, I’m interested in game theory, economics, education, science, music theory, gaming, and generally anything that gives me a reason to ask why a system works the way it does. Across those interests, I am interested in quantitative research that is both rigorous and socially useful, and in explaining how things work without pretending the evidence says more than it does.

You can find current work on GitHub and more detail on the Projects page.