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

EPISODE · Sep 10, 2025 · 1H 3M

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

from Knowledge at Wharton

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.

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

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