{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/5b69f70c0a0eca0c20692176/6af3d7581557d6347cd741f6?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Why Baseball’s Best Decisions Go Beyond Data","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/5b69f70c0a0eca0c20692176/1794364967081-74811449-be65-43d9-a540-e2e66cdc041c.jpeg?height=200","description":"<p>There is no single number that can identify a Hall of Famer or explain why one team consistently outperforms expectations.</p><p><br></p><p>Dan Szymborski, Senior Writer at FanGraphs and Eric Babitz, Director of Player Acquisition for the Milwaukee Brewers, examine where data informs baseball’s biggest decisions and where human judgment still matters.</p><p><br></p><p>Szymborski discusses how changing pitcher workloads are reshaping Hall of Fame standards, why peak performance can matter more than career milestones, and how ZiPS projects player performance. Babitz explains how the Brewers blend scouting, analytics, player development, and roster strategy to find value and build a contender.</p>","author_name":"The Wharton School"}