Football Analytics at Work: Probabilities, Priors, and Fourth-Down Decisions
Leading football analytics expert discusses predictive modeling, team rankings, and how data is reshaping the game.
Wharton Moneyball · Wharton Podcast Network
Show Notes
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.
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