The Pencil Talk Podcast

The 'DSR Dialogue'

Episode Summary

On this episode, we sit down with Forrest Allen to break down the creation of DSR — Diamond Sports Rankings — a new advanced metric designed specifically for college baseball and softball. Forrest takes us behind the curtain on how the model was built, the data points that matter most, and how it will compliment the NCAA selection committee. We dive into the differences between RPI, KPI, and DSR, explaining how each system evaluates teams and where DSR aims to improve the conversation around resumes, strength of schedule, and true team quality. Using real-world examples like LSU Tigers baseball, Clemson Tigers baseball, and several other contenders, we explore how different metrics can paint completely different pictures of the same season. The conversation also touches on predictive analytics in college baseball, why context matters more than ever in evaluating wins and losses, and how data is beginning to reshape the future of the sport. Whether you’re a hardcore numbers person or just trying to understand how postseason resumes are evaluated, this episode offers a deep dive into the evolving landscape of college baseball analytics.

Episode Notes

Opening Segment (0:00–3:00)

• Introduce Forrest Allen
• Explain his role with 643 Charts
• Tease the creation of DSR
• Why college baseball analytics are evolving rapidly

The Origin of DSR (3:00–12:00)

• What inspired Forrest to build DSR
• Problems with existing ranking systems
• How college baseball differs from other sports analytically
• The challenge of balancing predictive metrics vs résumé metrics

Breaking Down the Metrics (12:00–24:00)

DSR

• Core principles behind Diamond Sports Rankings
• Inputs and weighting philosophy
• Contextual data points included
• Why DSR may better reflect true team quality

Team Examples & Case Studies (24:00–37:00)

• LSU Tigers baseball résumé discussion
• Clemson Tigers baseball comparison
• Vanderbilts bubble discussion
• Teams that DSR loves vs teams traditional metrics love
• How scheduling impacts rankings
• Mid-major evaluation challenges
• Why two teams with similar records can grade out very differently

Bigger Picture Discussion (37:00–43:00)

• The future of analytics in college baseball
• How coaching staffs use data internally
• Potential influence on tournament discussions
• The evolution of fan understanding around metrics

Closing Segment (43:00–45:00)

• Final thoughts from Forrest
• Where fans can follow DSR and 643 Charts
• Biggest misconception about analytics in baseball
• Outro / tease next episode