Using Data to Model NBA Performance with Seth Partnow
Seth Partnow discusses advanced basketball simulations, in-game analytics, and evaluating NBA draft success through data science.
Wharton Moneyball · Wharton Podcast Network
July 2, 202556m 50s
Show Notes
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.
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