Episode 62: Shaun Owen - When Metrics Help and When They Hurt: Why Sports Science Data Alone is Not Enough

When Metrics Help and When They Hurt: Why Sports Science Data Alone is Not EnoughHow can teams move beyond simply collecting data to making smarter, more athlete-centered decisions that truly impact performance and reduce injuries, even on a budget?In this episode, Shaun Owen, Sports Science Coordinator for the Boston Red Sox, joins host Andrew Rizza to pull back the curtain on how elite organizations bridge the gap between data, research, and on-field performance. Based on his experience in rugby and high-performance sport in New Zealand and South Africa, as well as his work with the Red Sox, Owen explains how sports science uses data, technology, and athlete monitoring to guide decisions while still accounting for context and athlete feedback. Drawing from the work of Martin Buchheit, the conversation explores the industry's evolution from the foundational research of sport science 1.0 to the technological boom of sport science 2.0 and its metric-driven nature, before reaching sport science 3.0, which is less data-driven and more data-informed. The discussion also covers why sleep may be the most underrated recovery tool in sports, how simple metrics like Rate of Perceived Exertion (RPE) can still provide powerful insights even without expensive technology, and the growing role of AI and machine learning in biomechanics and injury prevention. Owen also offers practical advice for organizations with limited resources and guidance for students interested in pursuing careers in sports science.MEET THE GUEST- Sports Science Coordinator, Boston Red Sox- Former Sports Scientist with the Crusaders and Canterbury Rugby Football Union (New Zealand)- PhD in Sports Science, Stellenbosch University (South Africa)TOPICS DISCUSSED- The evolution of sports science and athlete monitoring- The importance of sleep, recovery, and athlete habits- Why RPE remains one of the most valuable monitoring tools- Balancing data analytics with real-world coaching context- The future of AI and machine learning in sports performance- Advice for students and professionals pursuing careers in sports science HIGHLIGHTS02:07 – Shaun Owen's Educational Background & Early Career04:46 – Birth of Modern Sports Science in Australia07:24 – Evolution of Sports Science in US Professional Sports09:58 – The Role of the Sports Scientist in the Red Sox Medical Team14:33 – Key Metrics: Volume, Acceleration, Heart Rate & High-Speed16:12 – Heart Rate Variability (HRV) & Sleep Performance19:28 – Getting Buy-In on Nutrition & Sleep Habits23:27 – Sports Science 3.0: Knowing the Athlete & Data-Informed Decisions30:36 – AI's Role in Sports Science36:16 – One Essential Tool: Building a Data Pipeline37:07 – Sleep, Wellness & RPE Tracking for Teams with Low Resources44:17 – RPE: High School and Collegiate Versus Pro Athletics47:05 – Sports Science Career Advice: Studies, Experience & Mentors50:06 – Shaun's Hobbies: Rugby & Rock ClimbingQUOTES17:52 – “Where athletes, you look at recovery, they want to go do something that feels hard, say get in an ice bath, they feel like they've recovered, do something that's really making them feel like they put the work in to accelerate their recovery, where nine times out of 10, an extra hour of sleep's going to outperform any of that.” – Shaun Owen21:47 – “As far as the conversations with athletes themselves, I think anything that can show them a hard number of what's happening — and this goes for all things, performance, correlations, anything, anything that we really believe in — if we can show it on an individual level for that person, it becomes quite valuable and strong in telling that story.” – Shaun Owen35:09 – “Biomechanics is in the spotlight now, but you're essentially working with machine learning and computer vision. And those two hand in hand have an untapped amount of opportunity in the field.” – Shaun OwenLINKS Martin Buchheit - “Sports Science 3.0: Integrating Technology and AI with Foundational Knowledge” - https://martin-buchheit.net/2024/08/12/sports-science-3-0-integrating-technology-and-ai-with-foundational-knowledge/ RELATED EPISODESBehind the Sports Medicine Podcast:Inside the Life of an MLB Athletic Trainer with Anthony Cerundolo - https://www.youtube.com/watch?v=YO0e5m2rkVg DISCLAIMER The opinions presented on Behind the Sports Medicine are those of the host and guests. They do not necessarily reflect the opinions of any affiliated institutions or partners. The content is for informational purposes only and does not constitute medical advice. Always consult a licensed medical professional before making any health or treatment decisions. Behind the Sports Medicine and its affiliates assume no liability for the accuracy or application of the information discussed.#SportsScience #SportsMedicine #BostonRedSox #SportsAnalytics #InjuryPrevention