Five ways data can improve pitcher performance

by Seth Daniels, Managing Director of North America

Rapsodo_LogoPitchers occupy one of the most high-pressure and physically taxing positions in the sport of baseball. At all levels of the game, great lengths are taken to maintain pitchers’ performance and ensure that they are in top form season after season. But across the professional, college and high school levels, one thing is lacking when it comes to the building, training and preserving elite pitchers – data analysis. Many will say that overuse, lack of conditioning, and improper pitch mechanics are the biggest problem facing pitchers over the course of their careers, and that may be true at some level. But, the real issue is coaches and trainers need more data on how their pitchers are performing over time, and in specific instances.

New data collection and analysis tools allow teams to track every single ball a pitcher throws, measuring velocity, strike zone, curve, rotation, and more. By analyzing this level of data over time, coaches can get a far more accurate read on a player’s ability and performance levels.

Statistics and baseball have always gone hand-in-hand. But, big data in baseball is a relatively new development. Coaches have always been aware that arm strength, stamina, max pitch count, recovery time, and warm up routines vary from pitcher to pitcher. But until recently, observation has been the primary metric for determining player readiness and performance.

Here are several game-changing applications for pitch data collection and analysis:

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