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Peak Lower-Extremity Power Unadjusted for Body Mass Predicts Fastball Velocity in Collegiate Baseball Pitchers
Benjamin W King1,2, Teresa K Snow1, Mindy Millard-Stafford1
1Exercise Physiology Laboratory, School of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia; and.
Peak lower-extremity power, unadjusted for body mass, predicts fastball velocity in collegiate baseball pitchers. Absolute power output is more relevant than body mass-influenced variables for predicting pitching speed.
Area of Science:
- Sports Science
- Biomechanics
- Baseball Performance Analysis
Background:
- The relationship between lower-extremity power and fastball velocity in collegiate baseball pitchers is not fully understood.
- Understanding these biomechanical factors can inform training and performance enhancement strategies.
Purpose of the Study:
- To evaluate the association between lower-extremity power production and throwing velocity in collegiate baseball pitchers.
- To determine if absolute or relative lower-extremity power is a better predictor of fastball velocity.
Main Methods:
- Thirty-three NCAA Division I baseball pitchers participated in the study.
- Lower-extremity power was measured using countermovement jump (CMJ) and Wingate anaerobic cycling tests.
- Fastball velocity was recorded using TrackMan technology, with data analyzed via Pearson correlations and linear regressions.
Main Results:
- Body mass (r = 0.58) and lean mass (r = 0.52) were the strongest predictors of fastball velocity.
- Peak power (W) from both Wingate (r = 0.44) and CMJ (r = 0.43) tests significantly predicted velocity.
- Lower-extremity power measures adjusted for body mass, such as CMJ power relative to body mass (r = 0.19), did not significantly predict velocity.
Conclusions:
- Absolute lower-extremity power, as measured by peak power output in the Wingate and CMJ tests, is a significant predictor of fastball velocity in collegiate pitchers.
- Body mass is a primary determinant of pitching velocity, and absolute power output is more relevant than body mass-normalized power for predicting performance.
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