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How Do You Use BABIP To Predict Earned Run Average In Baseball?

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How Do You Use BABIP To Predict Earned Run Average In Baseball?

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As baseball statistics get more sophisticated, it is essential to understand how they can be used to predict future performance. Baseball is a unique sport in many ways but in particular because of the role luck plays in the determination of wins and losses. Batting Average on Balls in Play (BABIP) is a statistic that was developed to temper traditional statistics and help scouts more accurately determine players’ performances independent of luck. On average, when a ball is batted into play, 30 percent of the time it will fall as a hit, with the other 70 percent being recorded as outs. In order to see if a particular pitcher was hampered or assisted by luck through the course of the season, the first step is to calculate the BABIP during the innings that he pitched. Subtract Home Runs allowed from Hits allowed. Divide this number by the result of Innings Pitched times 2.82 plus Hits allowed minus Home runs allowed minus strikeouts — Or: (Hits allowed – Home Runs Allowed) /((Innings Pi

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