Predicting Pitching Success: The Power of Advanced Models | R&D Podcast Ep 101
Description
In this episode, Jack, Josh & Marek explore the evolution of pitch modeling in baseball, covering key metrics like 'Stuff' and the shift to component-based approaches. They discuss how advanced models predict pitching success and how insights can be applied to both pitchers and hitters. The conversation also touches on the 'Big 3' of hitting analysis, the development of a matchup model tailored to hitters, and the limitations of current models, emphasizing the need for continuous improvement in player evaluation.
This podcast offers a unique look into how Driveline combines research, analytics, and practical application under one roof to push baseball development forward. Whether you're a player, coach, or analytics enthusiast, you'll gain insights into the future of baseball training and performance.