How NHL Teams Really Use Analytics

ABOUT THE EPISODE Statistician and sports analytics researcher Tyrel Stokes joins Wharton Moneyball to break down how NHL teams are using advanced analytics, tracking data, and predictive models to evaluate players, understand playoff performance, and gain an edge on the ice. The conversation explores expected goals models, puck tracking, AI in sports analytics, and why hockey may be entering a new era of data driven decision making.

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.

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