Scaling Insights: How Big Data and Simulation are Transfo...

Q: How long is this episode of Wharton Moneyball?

This episode is 1 hour and 0 minutes long.

Q: When was this Wharton Moneyball episode published?

This episode was published on February 4, 2026.

Q: Can I download this Wharton Moneyball episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.

What this episode covers

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

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