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PECOTA, an acronym for Player Empirical Comparison and Optimization Test Algorithm, [1] is a sabermetric system for forecasting Major League Baseball player performance. The word is a backronym based on the name of journeyman major league player Bill Pecota, who, with a lifetime batting average of .249, is perhaps representative of the typical PECOTA entry.
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This community has been able to grow thanks to the in-depth collection of statistics that has existed in baseball for decades. With analytics being relatively common in MLB, there is a breadth of statistics that have become vital in the analysis of the game, which include: Batting average is one of the most commonly discussed statistics in ...
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He is most noted for the Lahman Baseball Database, [8] a collection of baseball statistics for every team and player in Major League history. Starting in 1995, he made this database freely available for download from the Internet, helping to launch a new era of baseball research by making the raw data available to everyone.
He is the author of Baseball on Trial: The Origin of Baseball's Antitrust Exemption, as well as a number of sports-related law review articles. Corinne Landrey – Staff writer of FanGraphs. Joined in June, 2016. Landrey also writes for The Hardball Times, Today's Knuckleball and is the managing editor of Crashburn Alley.
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In baseball statistics, walks plus hits per inning pitched (WHIP) is a sabermetric measurement of the number of baserunners a pitcher has allowed per inning pitched. WHIP is calculated by adding the number of walks and hits allowed and dividing this sum by the number of innings pitched.