{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/5b69f70c0a0eca0c20692176/686bf93f8d2a216e12226705?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Wharton Moneyball Highlight: Using Data to Model NBA Performance with Seth Partnow","description":"<p>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 <em>The Midrange Theory</em>—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.</p>","author_name":"The Wharton School"}