Football Analytics at Work: Probabilities, Priors, and Fo...

Q: How long is this episode of Wharton Moneyball?

This episode is 1 hour and 3 minutes long.

Q: When was this Wharton Moneyball episode published?

This episode was published on September 10, 2025.

Q: Can I download this Wharton Moneyball episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.

What this episode covers

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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