Training Science Podcast

In this episode of the Training Science Podcast, Prof Paul Laursen is joined by Stephan Nüsser, performance physiologist and founder of a performance diagnostics lab in Germany, for a deep and practical discussion on lactate testing and endurance performance. Drawing from decades of applied work with cyclists, endurance athletes, and motocross professionals, Stephan explains how lactate can be used to individualize training, define true Zone 2 intensity, and guide long-term athlete development.The conversation explores why lactate is often misunderstood, how production and clearance reflect underlying metabolism, and why longer step protocols can provide clearer insight than fixed threshold formulas. They also discuss carb-optimized nutrition, metabolic flexibility, and why training and fueling should be viewed as a single integrated system rather than separate decisions.References:https://sndc.de/_____________________ Today’s speakers:Prof Paul Laursen  https://www.paullaursen.com/   Stephan Nüsser: https://www.instagram.com/sndcde/_____________________ 

In this end of year catch up, Prof Paul Laursen and Dr. Martin Buchheit reflect on the biggest lessons, debates, and breakthroughs from the past 12 months in training science. They share updates from the front lines of rehab and high performance work, unpack what is changing fast in sports science 3.0, and discuss how AI and better monitoring frameworks are reshaping how athletes and coaches make decisions. The episode wraps with their most downloaded podcast highlights of the year and a look ahead at what 2026 may bring.

In this episode of the Training Science Podcast, Dr. Martin Buchheit is joined by João Ribeiro, Head of Performance, to explore how elite football clubs monitor neuromuscular load and fatigue in real-world conditions.Building on their previous discussion around injury prevention and microcycle design, this conversation shifts focus to the response side of the monitoring equation—how athletes adapt to training and competition. João explains how his department integrates GPS data, wellness metrics, creatine kinase (CK), and low-frequency neuromuscular fatigue testing using Myocene to support daily decision-making, particularly during congested fixture periods.They discuss why passive, objective measures are essential when players cannot reliably perform maximal tests, how data is interpreted at the individual athlete level, and how monitoring is used to inform training availability rather than game selection.The episode also highlights feasibility, staff and coach alignment, and player buy-in as critical factors for successfully implementing advanced monitoring systems in applied football environments.ReferencesMyocene: https://www.myocene.com/Today’s speakersDr. Martin Buchheit: https://martin-buchheit.net/João Ribeiro: https://www.linkedin.com/in/jo%C3%A3o-ribeiro-86997955

In this episode of the Training Science Podcast, Prof Paul Laursen sits down with Professor Anthony Turner to unpack the fundamental laws that underpin performance in every sport, from explosive team games to marathon running and cycling. Instead of debating opinions or trends, Anthony brings everything back to first principles: Newton’s laws of motion, impulse, force, and the biomechanics of movement.Using endurance running as the main example, the conversation explores why strength training is just as essential as VO₂max and threshold for performance and economy. Ant explains how maximum strength and rate of force development shape running economy, ground contact time, stretch-shortening cycle efficiency, and ultimately time to exhaustion. They then extend these concepts to running, cycling, and long-term robustness.Listeners will also learn how to progress strength logically: from movement quality and symmetry, to heavy lifting, to power work and plyometrics, all while staying healthy and reducing injury risk. Whether you coach team sports, work with endurance athletes, or train yourself, this episode will change the way you think about strength training, biomechanics, and sport performance.Perfect for anyone interested in strength and conditioning, running economy, endurance performance, injury prevention, and applied sport science.References:https://thefitnessformula.training/_____________________ Today’s speakers:Prof Paul Laursen  https://www.paullaursen.com/   Prof Anthony Turner: https://www.linkedin.com/in/anthony-turner-62073788/_____________________ 

In this episode of the Training Science Podcast, Prof. Paul Laursen sits down with Athletica’s AI modeling lead, Dr. Andrea Zignoli, to break down how artificial intelligence is transforming endurance training. Fresh off publishing three major SPSR papers, Andrea explains the evolution of AI systems inside Athletica — from agent-based modeling, to AI-assisted HRV readiness monitoring, to the use of sentiment as a new internal load signal.Paul and Andrea explore how structured “AI agent” architectures and retrieval-augmented generation (RAG) systems allow large language models to move beyond basic chatbot behavior and become powerful tools for interpreting training data, detecting patterns, and supporting smarter athlete decision-making. They also look ahead at “Sport Science 3.0,” a future where coaching remains deeply human but is amplified by AI that can read files, interpret readiness, understand emotional states, and contextualize performance.Whether you're a coach, athlete, sport scientist, or tech-minded performance professional, this episode offers a clear look at how AI is already shaping modern training — and what’s coming next.References:https://tiscourse.vercel.app/abouthttps://sportperfsci.com/the-computational-paths-of-knowledge-in-ai-coaching/https://sportperfsci.com/sports-science-3-0-series-ai-assisted-hrv-monitoring-enhancing-training-load-response-and-decision-making/https://sportperfsci.com/signatures-of-fatigue-transformer-based-sentiment-analysis-for-internal-load-monitoring/_____________________ Today’s speakers:Prof Paul Laursen  https://www.paullaursen.com/   Dr. Andrea Zignoli: https://andreazignoli.github.io/ _____________________