DATA MINING TO MANAGE FATIGUE AND SUPERCHARGE TRAINING (#242) Podcast Por  arte de portada

DATA MINING TO MANAGE FATIGUE AND SUPERCHARGE TRAINING (#242)

DATA MINING TO MANAGE FATIGUE AND SUPERCHARGE TRAINING (#242)

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OVERVIEW
How much fatigue can an athlete accumulate without hurting recovery and hindering progress? That's the million dollar question for all coaches and athletes because it reveals how much training you can do in a given time, what type of workouts to use, and even what goals are within your reach. Coach Adam Pulford delves into the software tools he uses to analyze athlete data, monitor fatigue, assess an athlete's capacity for future training, and much more. Listen to Episode 242 of "The Time-Crunched Cyclist Podcast" and learn to leverage your training data to supercharge your training and results.

TOPICS COVERED

  • What training metrics represent fatigue?
  • Defining training stress score (TSS)
  • Acute vs. chronic training load
  • How stress (fatigue) is balanced by rest (recovery)
  • Why "ramp rates" matter and how to use them to plan training

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LINKS/RESOURCES

  • Why Ramp Rate is an Important Training Metric | TrainingPeaks
  • A Coach's Guide to ATL, CTL & TSB
  • Fatigue (ATL) – TrainingPeaks Help Center
  • What are CTL, ATL, TSB & TSS? Why Do They Matter?
  • Core TrainingPeaks Metrics Explained: Fitness, Form, Fatigue
  • The Foster Score: A Simple Yet Effective Way to Measure Training Load in Endurance Sports - Ludum

HOST
Adam Pulford has been a CTS Coach for nearly two decades and holds a B.S. in Exercise Physiology. He's participated in and coached hundreds of athletes for endurance events all around the world.

Listen to the episode on Apple Podcasts, Spotify, Stitcher, Google Podcasts, or on your favorite podcast platform

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Website: trainright.com
Instagram: @cts_trainright
Twitter: @trainright
Facebook: @CTSAthlete

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