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Hitting around the shift: Evaluating batted-ball trends across Major League Baseball

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Date
2020-05
Author
Model, Michael W.
Advisor
Dunson, David
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Abstract
The infield shift has negatively affected Major League hitters who formerly thrived on ground balls through the gaps in the infield. Nearly a quarter of plate appearances during the 2019 season featured infield shifts, up from 13.8 percent just three seasons prior. I analyzed both the evolution of shift implementation and whether batters hit differently with and without the shift using hierarchical Bayesian regression methods on both pitch-level and batter-tendency data from 2015 to 2019. Since most of the recent talk surrounding the infield shift has been related to a drastic increase in fly balls and players hitting over the shift, I looked specifically at adaptation on the ground. Not a single batter was found to have had a significant difference between their batted-ball distributions for either a given season or throughout the entire five-year period, suggesting the increase in shifting is unlikely to end in the near future.
Type
Honors thesis
Department
Statistical Science
Subject
Baseball--Statistical methods
Baseball--Mathematical models
Permalink
https://hdl.handle.net/10161/22343
Citation
Model, Michael W. (2020). Hitting around the shift: Evaluating batted-ball trends across Major League Baseball. Honors thesis, Duke University. Retrieved from https://hdl.handle.net/10161/22343.
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This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 United States License.

Rights for Collection: Undergraduate Honors Theses and Student papers


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