Predictors of fielding performance in professional baseball players

Area of Science:

• Sports Science
• Biomechanics
• Baseball Analytics

Background:

• Fielding performance is crucial in baseball, with Ultimate Zone Rating (UZR/150) quantifying player efficiency.
• Previous research linked spring training physical measures to hitting, but not fielding performance.
• The relationship between anthropometric and performance data and fielding metrics remains unexplored.

Purpose of the Study:

• To investigate the correlation between anthropometric and performance measurements taken during spring training and fielding performance in professional baseball players.
• To identify predictive physical markers for fielding success in baseball.

Main Methods:

• Collected anthropometric (body mass, lean body mass) and performance (grip strength, sprints, jumps) data from professional infielders and outfielders over five spring training seasons (2007-2011).
• Analyzed relationships between these measures and regular-season fielding statistics (UZR/150) using Pearson correlation.
• Employed stepwise regression to determine the best predictors of UZR/150.

Main Results:

• Significant correlations were found between UZR/150 and body mass, lean body mass, peak vertical jump power, and mean vertical jump height (P < .05).
• Mean vertical jump height was the best single predictor for all players, with proagility performance enhancing predictive accuracy by 8.3%.
• Best predictors varied by position: body mass for corner and middle infielders, and proagility time for outfielders.

Conclusions:

• Spring training measurements, specifically mean vertical jump and proagility time, show potential for predicting a baseball player's season-long defensive run value.
• These physical assessments can offer valuable insights for player evaluation and development in professional baseball.