A Statistical Revolution: How Econometrics Has Changed the Game of Baseball
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Because baseball is inherently a game of numbers, its history, tradition, and mythology have always been closely tied to statistics and record keeping. However, while baseball historians have become adept at chronicling the game through numbers, major league clubs have been incredibly inefficient in using the available information to scout and develop talent. There is an unfathomably large store of data to be mined, yet teams have only recently begun to put it to good use. In the past decade, there has been a movement among baseball clubs, spearheaded by the Oakland A's in the late 1990s and early 2000s. General managers and others in charge of talent development have found ways to use econometric principles to analyze a player's worth to his team and predict what his value will be in the future. The author researched these methods from both a baseball and a statistical perspective. He documents the rise of advanced statistics in baseball and its impact on the consciousness of sports fans and professionals alike. He also expands on this analysis with theories and applications of his own.