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Wharton Moneyball: Using Data to Model NBA Performance with Seth Partnow

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Manage episode 493529651 series 1776
Content provided by Knowledge at Wharton. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Knowledge at Wharton 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://ppacc.player.fm/legal.
A highlight of Eric Bradlow, Shane Jensen, and Adi Wyner's conversation with Seth Partnow—Data Science Manager for the NBA at PENN Interactive, former Director of Basketball Research for the Milwaukee Bucks, and author of The Midrange Theory—discussing what NBA work at PENN Interactive entails, expectations for draft picks and predicting player performance, and how talent distribution across NBA teams is changing.

Hosted on Acast. See acast.com/privacy for more information.

  continue reading

4286 episodes

Artwork
iconShare
 
Manage episode 493529651 series 1776
Content provided by Knowledge at Wharton. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Knowledge at Wharton 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://ppacc.player.fm/legal.
A highlight of Eric Bradlow, Shane Jensen, and Adi Wyner's conversation with Seth Partnow—Data Science Manager for the NBA at PENN Interactive, former Director of Basketball Research for the Milwaukee Bucks, and author of The Midrange Theory—discussing what NBA work at PENN Interactive entails, expectations for draft picks and predicting player performance, and how talent distribution across NBA teams is changing.

Hosted on Acast. See acast.com/privacy for more information.

  continue reading

4286 episodes

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