Moneyball, past the movie: how sabermetrics rewired baseball
How a cash-strapped team's embrace of statistics upended baseball scouting and strategy, the backlash from traditionalists, and the data arms race it set off across every major sport.
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The Oakland Athletics identified outs as the scarcest resource, limited to twenty-seven opportunities per game.
Traditional scouting once favored a good face over on-base percentage, which was a significantly undervalued asset.
The Boston Red Sox ended an eighty-six year drought by hiring Bill James to apply data science.
Market arbitrage for player statistics corrected within twenty-four months as wealthy teams adopted analytics.
Basketball three-point attempts doubled since two thousand two as teams prioritized high-value scoring zones.
Football teams now use Expected Points Added to justify aggressive fourth-down attempts on the field.
- 01Intro1 min
- 02The Inefficiency of the 'Good Face'2 min
- 03The Sabermetric Resistance2 min
- 04The Arbitrage Window Closes3 min
- 05The Global Contagion of Data3 min
- 06Outro1 min
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- Analytics, Rule Changes, and Baseball’s Revival - Wharton Moneyball | Acast
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- An Economic Evaluation of the Moneyball Hypothesis - American Economic Association
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- BEANE BALL: OAKLAND GM TAKES SMALL MARKET INTO THE BIG TIME | New York Post
- Moneyball Chapter 2: How to Find a Ballplayer Summary & Analysis | LitCharts
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