{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/5b69f70c0a0eca0c20692176/69544beba340b61dd66791b8?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"How AI and Bayesian Models Are Reshaping Sports Analytics","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/5b69f70c0a0eca0c20692176/1767132005044-206ec0be-88d3-4a2a-ac69-f271204cb8c0.jpeg?height=200","description":"<p>Eric Bradlow, Shane Jensen, and Adi Wyner examine how AI-driven metrics, model calibration, and Bayesian approaches inform quarterback evaluation, team upsets, and the evolving limits of sports analytics.</p>","author_name":"The Wharton School"}