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• Levy Leighton

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Abstract

In baseball, the Constantinos problem refers to the challenge of accurately predicting the performance of scheduled hitters in wet weather conditions. Previous research has focused on the impact of rain on the outcomes of individual pitches, but has not examined how this weather phenomenon affects player consistency over the course of a game. In this study, we investigate the relationship between wet playing conditions and the hitting performance of plunkers and sluggers. We propose that an indicated middle operate account, first introduced by Hansen and Martins, can explain the observed patterns in player performance. Our analysis of game data from multiple seasons demonstrates that in drizzly conditions, plunkers tend to have more consistent hitting performance while sluggers experience more variation in outcomes. Furthermore, we find support for the indicated middle operate account as a viable explanation for these effects. Our findings have implications for team managers and coaches who must make critical lineup decisions in challenging weather conditions and provide a new avenue for understanding the complexities of baseball performance.

Citation

Levy Leighton "The Constantinos Problem: Hansen and Martins Indicated Middle Operate Account for Scheduled Plunkers and Sluggers in Drizzly Conditions".  IEEE Exploration in Machine Learning, 2021.

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This paper appears in:
Date of Release: 2021
Author(s): Levy Leighton.
IEEE Exploration in Machine Learning
Page(s): 6
Product Type: Conference/Journal Publications