Science for Sport Podcast
Behind the Scenes of Elite Performance – Unlocking the Science, Stories, and Strategies That Make the Best Even Better
Displaying 2 items of Science for Sport Podcast with the tag "performance technology".
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336: How the NFL’s Best Practitioners Use Performance Data
September 7th, 2026 | 29 mins 38 secs
american football, applied sports science, athlete monitoring, athlete preparation, athlete readiness, catapult, catapult sports, college football, data analytics, elite sport, football performance, gps tracking, high performance sport, injury prevention, injury risk, jamie hepner, load management, ncaa football, nfl, performance analysis, performance data, performance technology, player availability, player tracking, practice load, practitioner decision making, sport science, sports science, sports technology, strength and conditioning, training load, training prescription, vector 8, video analysis, wearable technology
Jamie Hepner joins Richard Graves to explain how NFL and college football teams are moving beyond simply collecting performance data and using it to shape practice, manage player availability and improve preparation. They discuss athlete monitoring, training prescription, injury risk and why context and practitioner judgement ultimately determine whether data leads to better decisions.
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311: The Future of Weight Room Monitoring with Perch P2
March 16th, 2026 | 28 mins 46 secs
athlete monitoring, athlete performance data, catapult sports, computer vision in sport, elite sport performance, machine learning in sport, perch system, performance technology, s&c coaching, sports science, sports technology, strength and conditioning, strength training analytics, velocity based training, weight room monitoring
Richard Graves is joined by Jordan Lucier, Senior Director of Engineering at Catapult and Co-Founder of Perch, to discuss the evolution of weight room monitoring technology. The conversation explores the development of Perch, the launch of the new P2 system, and how advances in computer vision and machine learning are helping coaches better understand strength training performance.