This is an incredible way for high school students to learn more about data science and sports analytics.

Our models Ryan Brill showed that the advantage for going forward was potentially big. But the uncertainty was much bigger. A purely data driven approach could not provide the answer. wsj.com/sports/footbal…

We had that as a go: “midfield spike”

I showed that interpolation and self-regularization is the key to success. To accomplish both, results in the spike-smooth property. Are you suggesting that interpolation is not necessary (it probably can be relaxed a bit). Nice to see your work!

Just learned that Bibi read my article. That’s nothing compared to the time Derek Jeter responded to my article (which showed he had very little range up the middle) .

Nice article on two of graduating seniors! Congrats Emma and Naomi.

HW_AnalyticsFC, a student team from Harvard-Westlake in California, won our inaugural The Wharton School High School Data Science Competition, hosted in partnership with Wharton Global Youth Program. Learn how they crunched the numbers to beat hundreds of teams from around the world. wsb.wharton.upenn.edu/data-science-c…

The Toronto Blue Jays walked Aaron Judge with no one on and no outs. That’s worth about .4 runs. Aaron Judge may be good, but he is not that good.

We were thrilled to host the 2nd The Wharton School Sports #Analytics Research Lab this summer, preparing college students and high schoolers alike for the world of sports analytics. Wharton students Sofia Boubsis and Justin Hughes take us through their journey: wsb.wharton.upenn.edu/inside-the-wha…

Each year, The Wharton School Moneyball Academy welcomes high schoolers from around the globe to campus to learn advanced sports statistics. We caught up with Diego Alvarez from Veracruz, Mexico, to learn how the experience prepared him for a bright future. wsb.wharton.upenn.edu/scholarship-st…

One possible overlooked reason why so many fourth down decisions are wrong: under-confidence. New research note by Ryan Brill and me on the Wharton Sports Analytics and Business Initiative (discussed on Wharton Moneyball ) wsb.wharton.upenn.edu/fourth-down-co…

Adi Wyner Just elaborated on my thoughts related to this here: open.substack.com/pub/statthinks…

Great finish to his PhD work for Ryan Brill and a great start for Jonathan Pipping . Happy to have been able to contribute to this as their advisor. Congrats as well to U Penn alums Cole Jacobson and Justin Lipitz.

We have a new baseball research article on quantifying pitcher control, solving the “pitcher intent” problem using Bayes estimation and EM. Congrats to Matt Ludwig on his first article and , of course, the uber productive Ryan Brill