{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/5b69f70c0a0eca0c20692176/6a1636016ee822cbfb30e644?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"How Baseball Analytics Is Reshaping Hall of Fame Conversations","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/5b69f70c0a0eca0c20692176/1779840290762-ca4507c3-b30c-4cd7-a0ad-61f2d2bf3814.jpeg?height=200","description":"<p>Cade, Eric, Shane, and Adi discuss NHL playoff hockey, expected goals models, statistical limits in measuring player performance, and how sports like hockey, soccer, baseball, and football differ in the way win probability builds and shifts during competition. Jay Jaffe, senior writer for FanGraphs, the author of <em>The Cooperstown Casebook, </em>and the creator of the JAWS (Jaffe WAR Score) metric for Hall of Fame analysis. joins the Moneyball team to break down early MLB season surprises, debate modern Hall of Fame standards for pitchers, explain the JAWS.</p>","author_name":"The Wharton School"}