Big data baseball

math, miracles, and the end of a 20-year losing streak

242 pages

English language

Published Oct. 3, 2015

ISBN:
978-1-250-06350-2
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OCLC Number:
887848426

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"Pittsburgh Pirates manager Clint Hurdle was old school and stubborn. But after twenty straight losing seasons and his job on the line, he was ready to try anything. So when he met with GM Neal Huntington in October 2012, they decided to discard everything they knew about the game and instead take on drastic "big data" strategies. Going well beyond the number-crunching of Moneyball, which used statistics found on the back of baseball cards to identify market inefficiencies, the data the Pirates employed was not easily observable. They collected millions of data points on pitches and balls in play, creating a tome of reports that revealed key insights for how to win more games without spending a dime. They discovered that most batters struggled to hit two-seam fastballs, that an aggressive defensive shift on the field could turn more batted balls into outs, and that a catcher's most valuable skill …

3 editions

Subjects

  • Statistical methods
  • Baseball players
  • Statistics
  • Mathematical models
  • Baseball
  • Pittsburgh Pirates (Baseball team)

Places

  • United States