Abstract
With baseball becoming an increasingly competitive sport, professional baseball teams are looking to the statistical side of the sport to find ways to win more games. With my analysis, I studied baseball statistics to look for interesting patterns and relationships. For example, I investigated the effect of a trade on a player's performance (both batters and pitchers) and analyzed the relationship between a player's performance and salary. My analysis also determined the statistics teams should utilize to win more games. To effectively analyze these patterns and relationships, visualizations were made in Tableau, and linear models were fit with R. Overall, several interesting patterns were revealed, which will be discussed during this poster presentation.
College
College of Science & Engineering
Department
Mathematics & Statistics
Campus
Winona
First Advisor/Mentor
Tisha Hooks
Start Date
4-19-2023 10:00 AM
End Date
4-19-2023 11:00 AM
Presentation Type
Poster Session
Format of Presentation or Performance
In-Person
Session
1b=10am-11am
Poster Number
19
Included in
An Analysis of Major League Baseball Sabermetrics
With baseball becoming an increasingly competitive sport, professional baseball teams are looking to the statistical side of the sport to find ways to win more games. With my analysis, I studied baseball statistics to look for interesting patterns and relationships. For example, I investigated the effect of a trade on a player's performance (both batters and pitchers) and analyzed the relationship between a player's performance and salary. My analysis also determined the statistics teams should utilize to win more games. To effectively analyze these patterns and relationships, visualizations were made in Tableau, and linear models were fit with R. Overall, several interesting patterns were revealed, which will be discussed during this poster presentation.
