Using AI as a Load Management Tool in Baseball Pitchers
Type of Presentation
Paper
Location
C3331
Start Date
4-10-2026 10:00 AM
End Date
4-10-2026 10:45 AM
Abstract
Major League Baseball (MLB) collects a wide variety of data of every pitch thrown in every regular season game using a variety of technologies. Teams and private companies now have access to a full suite of testing equipment previously only used in biomechanics laboratories.. Teams now have full biomechanics labs in their facilities, including but not limited to 3-d mo-cap technologies, electromyography (EMG), force plates, and Trackman. As such a pervasive technology we all carry in our pockets is now capable of being used to measure pitch velocity through the use on an app in addition.
The amount of data that MLB collects for every pitch of every game is now easily accessible. The purpose of this study is to use AI to track pitch velocity changes over the course of a season can be used as a load management tool and assessment tool for injury risk. Decreases in average pitch velocity over time could be indicative of fatigue or changes in biomechanics which could lead to an injury. The concept could then be applied to non-professional baseball pitchers to assess potential injury risk and load management, without access to the full suite of testing metrics MLB teams have access to. AI agents can then be used to chart data and make an instant assessment of injury risk and load management of the youth athlete. Giving parents the ability to make decision regarding their child health that would otherwise be inaccessible without sports science expertise.
Using AI as a Load Management Tool in Baseball Pitchers
C3331
Major League Baseball (MLB) collects a wide variety of data of every pitch thrown in every regular season game using a variety of technologies. Teams and private companies now have access to a full suite of testing equipment previously only used in biomechanics laboratories.. Teams now have full biomechanics labs in their facilities, including but not limited to 3-d mo-cap technologies, electromyography (EMG), force plates, and Trackman. As such a pervasive technology we all carry in our pockets is now capable of being used to measure pitch velocity through the use on an app in addition.
The amount of data that MLB collects for every pitch of every game is now easily accessible. The purpose of this study is to use AI to track pitch velocity changes over the course of a season can be used as a load management tool and assessment tool for injury risk. Decreases in average pitch velocity over time could be indicative of fatigue or changes in biomechanics which could lead to an injury. The concept could then be applied to non-professional baseball pitchers to assess potential injury risk and load management, without access to the full suite of testing metrics MLB teams have access to. AI agents can then be used to chart data and make an instant assessment of injury risk and load management of the youth athlete. Giving parents the ability to make decision regarding their child health that would otherwise be inaccessible without sports science expertise.