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http://dx.doi.org/10.5351/KJAS.2020.33.2.171

Evaluating the quality of baseball pitch using PITCHf/x  

Park, Sungmin (Department of Statistics, Seoul National University)
Jang, Woncheol (Department of Statistics, Seoul National University)
Publication Information
The Korean Journal of Applied Statistics / v.33, no.2, 2020 , pp. 171-184 More about this Journal
Abstract
Major League Baseball (MLB) records and releases the trajectory data for every baseball pitch, called the PITCHf/x, using three high-speed cameras installed in every stadium. In a previous study, the quality of the pitch was assessed as the expected number of bases yielded using PITCHf/x data. However, the number of bases yielded does not always lead to baseball scores, or runs. In this paper, we assess the quality of a pitch by combining baseball analytics metric Run Expectancy and Run Value using a Random Forests model. We compare the quality of pitches evaluated with Run Value to the quality of pitches evaluated with the expected number of bases yielded.
Keywords
Major League Baseball; quality of pitch; expected number of bases yielded; run expectancy; run value; random forests model;
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  • Reference
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