Hitting around the shift: Evaluating batted-ball trends across Major League Baseball
dc.contributor.advisor | Dunson, David B | |
dc.contributor.author | Model, Michael W. | |
dc.date.accessioned | 2021-02-11T14:05:44Z | |
dc.date.available | 2021-02-11T14:05:44Z | |
dc.date.issued | 2020-05 | |
dc.department | Statistical Science | |
dc.description.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. | |
dc.identifier.uri | ||
dc.language.iso | en_US | |
dc.subject | Baseball--Statistical methods | |
dc.subject | Baseball--Mathematical models | |
dc.title | Hitting around the shift: Evaluating batted-ball trends across Major League Baseball | |
dc.type | Honors thesis | |
duke.embargo.months | 0 |
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