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How AI and Analytics Are Changing Quarterback Evaluation and NFL Outcomes

ABOUT THE EPISODE
In this episode recorded on 12/31/2025, 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. Eric Bradlow talks about how modern analytics reshape the way quarterbacks are evaluated beyond traditional stats. Shane Jensen discusses the role of coaching, team context, and patience in quarterback development. Adi Wyner explains how Bayesian thinking and model uncertainty change how analysts interpret surprising results.

ABOUT THE PODCAST
Sports is a game of numbers. Wharton experts Eric Bradlow, Shane Jensen, Cade Massey, and Adi Wyner team up to tackle the world of sports, from current events to longstanding issues such as: What sports streaks are the most impressive? How do you rank the best players? Can athletes be compared across sports? Moneyball Highlights explains how decision-makers in the game can avoid the common mistakes and embrace the data. Episodes are recorded at the Wharton School.

Subscribe on Apple Podcasts: https://whr.tn/459Kr0H
Subscribe on Spotify: https://whr.tn/4fBY7oM
Watch/listen on the Knowledge at Wharton website: https://whr.tn/moneyball

#SportsAnalytics #FootballAnalytics #AIInSports #NFLAnalytics
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