Knowledge is power: Issues of measuring training and performance in cycling

Area of Science:

• Sports Science
• Exercise Physiology
• Cycling Performance Analysis

Background:

• Mobile power meters are validated tools for assessing cyclists' real-world power output.
• Accurate and reliable field measurements aid in monitoring training and race demands.
• Power meter data presents inherent complexities due to its stochastic nature.

Purpose of the Study:

• To review power meter data from a professional cyclist's training and racing.
• To explore the challenges in analyzing variable power output data.
• To highlight the need for improved methods in quantifying training loads and performance implications.

Main Methods:

• Review of power meter data from a Grand Tour cyclist.
• Analysis of data using simple summary methods and binned data (e.g., training zones).
• Exploration of performance monitoring using critical power and record power profiles.

Main Results:

• Simple summary methods fail to capture power output distribution and metabolic stress.
• Binning data offers detail on effort duration but not overall session impact.
• Existing methods for tracking training-induced changes have limitations.

Conclusions:

• Current methods are inadequate for fully understanding training loads from power meter data.
• There is a critical need for novel analytical approaches.
• New methods should quantify training effects and predict performance outcomes.