Improving Offensive Player Performance Measures for Assessing Free Agent Major League Baseball Players
Date of Graduation
Bachelor of Science
Committee Member/Second Reader
Committee Member/Third Reader
Committee Member/Fourth Reader
Professional sports teams are important to their local economies, so successful franchises are significant contributors to their prosperity. This need for successful teams drives the owners and general managers to perform in-depth analyses on potential players to gain insight, so the best players can be chosen. Major League Baseball is one of the largest sports leagues in the world, so their analysis of players must be excellent to ensure they sign the best players and can compete at a high level.
Baseball is a complex sport with many different statistics evaluating nearly every part of a player’s game. Because of its complexity, professional baseball relies on statistics more than any of the other professional sports. General managers and scouts for teams analyze players using a variety of statistics, so ensuring current statistics that meet their needs are available is vital. Continuously updating and developing new statistics is extremely important to keep professional baseball near the top of the professional sports world. This analysis develops a new offensive statistic for use by MLB teams when they consider what players to sign during free agency. The approach used attempts to improve an existing statistic then combines the improved statistic with another statistic to gain a new perspective on player analysis.
Baseball Analytics, MLB Player Performance Measures
Wells, H. (2020). Improving Offensive Player Performance Measures for Assessing Free Agent Major League Baseball Players. Industrial Engineering Undergraduate Honors Theses Retrieved from https://scholarworks.uark.edu/ineguht/66