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Wharton Moneyball

Wharton Moneyball

By: The Wharton School
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Summary

 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 explains how decision-makers in the game can avoid the common mistakes and embrace the data. Episodes are recorded at the Wharton School.

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

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Episodes
  • Balancing Performance and Prediction in Modern Golf Rankings

    Balancing Performance and Prediction in Modern Golf Rankings
    May 6 2026
    Mark Broadie, Carson Family Professor of Business at Columbia Business School, joins Wharton Moneyball to discuss how strokes gained transformed golf analytics and ranking systems, while Cade Massey, Eric Bradlow, and Adi Weiner analyze MLB challenge strategies, team overperformance, and new methods for evaluating roster depth in hockey.

    Hosted on Acast. See acast.com/privacy for more information.
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    1 hr and 8 mins
  • Behavioral Biases and Data Models Shape NFL Draft Strategy

    Behavioral Biases and Data Models Shape NFL Draft Strategy
    Apr 29 2026
    Richard Thaler, Nobel Laureate and Professor at the University of Chicago, and Benjamin Robinson, Founder and CEO of Grinding the Mocks, join the Wharton Moneyball team to analyze how cognitive biases, flawed valuation frameworks, and emerging data models shape NFL draft strategies and impact team decision-making.

    Hosted on Acast. See acast.com/privacy for more information.
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    1 hr and 8 mins
  • Understanding Hockey Performance Through Data, Simulation, and Visualization

    Understanding Hockey Performance Through Data, Simulation, and Visualization
    Apr 22 2026
    Micah McCurdy—mathematician, creator of HockeyViz, and hockey analytics expert—joins Eric Bradlow, Adi Wyner, and Shane Jensen to discuss simulation and player-level modeling, alongside broader analysis of MLB trends, NBA title odds, and notable statistical performances across sports.

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