Polarized Training Pathway
In collaboration with Dr. Stephen Seiler, the “father of polarized training,” we have curated everything you need to know about the 80/20 training method.
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- Aging
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- Nerd Lab
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- Nutrition Strategies
- Overreaching and Overtraining
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- Polarized Training
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Training > Endurance Performance Data Analysis
Basic Performance Data Analysis Pathway
Analyzing your training is a critical aspect of improving fitness. With the help of Dr. Stephen Seiler, Colby Pearce, Julie Young, and many others, we explore how and why to monitor and analyze data, and explore different approaches to interpreting and managing your workout data.
Endurance Performance Testing and Monitoring—Past, Present, and Future
Dr. Stephen Seiler presents on the history and future of endurance sports testing and monitoring.
Data Analysis: Mathieu van der Poel at the Tour of Flanders
Dr. Stephen Seiler dives into Mathieu van der Poel’s power data from the 2021 Tour of Flanders to decipher what it takes to excel in a Spring Classic.
TrainingPeaks: How to Craft Effective Comments
The “comments” field in TrainingPeaks is not to be ignored: It can be a helpful guide for coaches and a useful reference for athletes.
An Exploration of “Social Training Tools”
We explore whether Strava and other new training apps can make you faster, and how to effectively fit them into a structured training plan.
How to Use TrainingPeak’s Performance Management Chart
Coaches Trevor Connor and Ryan Kohler review TrainingPeaks metrics such as Acute and Chronic Training Load (ATL/CTL), Training Stress Balance (TSB), and discuss the interactions among the metrics.
How Long Is Too Long on Zwift?
Dr. Stephen Seiler analyzes a 13-plus-hour Zwift ride by Jonas Abrahamsen of the Uno-X Pro Cycling Team from Norway.
Recent Research on Interval Types, Timing Effects on Performance, Health Benefits of Endurance, and Pacing Strategies
We review four recent studies from the scientific literature, addressing the hypotheses, methods, and conclusions of each to give you a greater understanding of the latest findings in endurance research.
How to Find Trends in Your Data Using Power and Heart Rate
Coaches Ryan Kohler and Trevor Connor demonstrate how to spot trends in the relationship between power and heart rate using intervals.icu.
What Does It Take to Train for Paris-Roubaix? Dr. Seiler Explores.
In this workshop, Dr. Stephen Seiler dives into the specifics of a famous Mat Hayman training session and also discusses how to “measure” high-intensity repeatability.
Load, Stress, Strain: Understanding the Difference Can Make You Fitter and Faster
Dr. Stephen Seiler demystifies training scores and metrics, giving athletes a clear definition of the fundamental principles of sport science.
How to Analyze the Power Duration Curve
Coaches Trevor Connor and Ryan Kohler analyze the Power Duration Curve in order to illustrate how you can train fatiguability.
Wprime, Critical Power, 6-minute Power, and Variable Intensity Races
In this video, Dr. Seiler thinks out loud—with math—to explore how critical power and variable intensity races might connect in practice.
How to Improve Maximal Force Production on the Bike
Coach Ryan Kohler demonstrates ways to train maximal force production, or torque, on the bike.
How to Track the Long-Term Relationship Between Heart Rate and Power
Coach Ryan Kohler reviews season-to-season changes in heart rate/power distributions to illustrate improvements across the different energy systems.
How Steady Should Your Long Slow Distance (LSD) Rides Be?
The execution of long slow distance rides might sound simple, but many people struggle to get it right. Can you be too steady on your LSD rides?
How to Determine Your Cardiovascular Drift
Cardiovascular drift is an instability in heart rate and stroke volume over time. We show you how to determine it.
Intensity Changes Between Fast-Start and Steady Intervals, with Dr. Stephen Cheung
Dr. Stephen Cheung discusses a study comparing steady-state versus fast-start intervals, then uses Xert software to model how a fast-start interval can be much more intense.