{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/5b69f70c0a0eca0c20692176/698278fda4fd9ee5135a16c9?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Scaling Insights: How Big Data and Simulation are Transforming the NFL","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/5b69f70c0a0eca0c20692176/1770158347278-6b8200e5-c5f8-43e2-b475-84a445bbfa87.jpeg?height=200","description":"<p>Michael Lopez, Senior Director of Football Data and Analytics at the NFL, joins the Moneyball team to explain the use of causal inference and drive simulations in shaping the modern game of football. Plus, Eric and Adi explore the mathematical phenomenon of regression to the mean and how it applies to the unprecedented career trajectories of athletes like Carlos Alcaraz and Shohei Ohtani.</p>","author_name":"The Wharton School"}