Wharton Moneyball: Football Analytics, Probabilities, Priors, and Fourth-Down Decisions - podcast episode cover

Wharton Moneyball: Football Analytics, Probabilities, Priors, and Fourth-Down Decisions

Sep 10, 20251 hr 4 min
--:--
--:--
Download Metacast podcast app
Listen to this episode in Metacast mobile app
Don't just listen to podcasts. Learn from them with transcripts, summaries, and chapters for every episode. Skim, search, and bookmark insights. Learn more

Episode description

Brian Burke, Sports Data Scientist at ESPN, joins Cade Massey, Eric Bradlow, and Shane Jensen to share insights on building advanced football power ranking systems, the role of Bayesian models in balancing priors and new data, and how analytics informs game-day decisions like fourth-down calls and playoff predictions. Cade, Eric, and Shane also analyze standout performances and key narratives from NFL Week One, preview pivotal college football games, examine the growing dominance of Carlos Alcaraz over Jannik Sinner in men’s tennis, and highlight major offensive trends across Major League Baseball.

Hosted on Acast. See acast.com/privacy for more information.

For the best experience, listen in Metacast app for iOS or Android