Sport Analytics: Science or Alchemy?
in Kinesiology ReviewClick name to view affiliation
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Sport analytics promises to use Big Data and sophisticated statistical methods to identify effective strategies in sports—“the Moneyball moment.” However, much like alchemy, sport analytics is characterized by opacity and secrecy, and outside of baseball, evidence of success that would meet the usual scientific criteria is limited. An example is used to demonstrate that quite simple models can match more complex ones in terms of prediction. Like alchemy, sport analytics can deliver important advances in our understanding, but some problems need to be addressed. These include the need to incorporate theory, reconciling the pursuit of profit with scientific principles, and focusing on prediction as a measure of progress.
The author is with the School of Kinesiology, University of Michigan, Ann Arbor, MI.
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