Using Data to Model NBA Performance with Seth Partnow

Q: How long is this episode of Wharton Moneyball?

This episode is 56 minutes long.

Q: When was this Wharton Moneyball episode published?

This episode was published on July 2, 2025.

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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

Wharton's Eric Bradlow and Shane Jensen speak with Seth Partnow, Data Science Manager - NBA for PENN Interactive, Former Director of Basketball Research for the Milwaukee Bucks and Author of the Midrange Theory, about what NBA for PENN Interactive does, expectations for NBA draft picks and predicting player performance, and the change in talent distribution on NBA teams. They also discuss Alcaraz's play at Wimbledon, the impressive career Clayton Kershaw has had, age curves in the NHL, and NBA free agency. Hosted on Acast. See acast.com/privacy for more information.

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