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Using Data to Model NBA Performance with Seth Partnow

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Manage episode 492059951 series 2415500
Content provided by Wharton Moneyball. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Wharton Moneyball or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
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.

  continue reading

576 episodes

Artwork
iconShare
 
Manage episode 492059951 series 2415500
Content provided by Wharton Moneyball. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Wharton Moneyball or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
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.

  continue reading

576 episodes

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