Arsenal Effects & The Death of the Sweeper? | R&D Podcast Ep 100

Welcome to the Driveline R&D Podcast, where we explore the cutting-edge intersection of baseball analytics, player development, and on-field performance. In this milestone 100th episode, the new R&D crew takes over following the departure of the original hosts to MLB organizations. Join Jack Lambert (Baseball Operations Director), Josh Hejka (minor league player with the Phillies and Driveline's longest-running intern), and Marek Ramilo (part-time R&D analyst and quant trader) as they dive into how research and development is transforming training in Major League Baseball and at Driveline. Episode Highlights: •0:00 - Introduction to the new R&D podcast crew and team backgrounds •8:54 - Arsenal Models: How data predicted MLB's sweeper revolution and the chess theory of pitch combinations •19:45 - Component-Based Pitching Models: Breaking down pitch outcomes to better understand performance • 28:00 - Matchup Analysis: Adding batter context to pitching models • 33:24 - The Player Perspective: How analytics data gets translated to actionable information on game day • 38:08 - The "Apple Ecosystem" of Baseball Training: Why integration of all development tools matters • 41:40 - Pulse and Workload Management: Using data to prepare pitchers and prevent early-season injuries. 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. 

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