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Cyclist performing a sustained effort on a flat road with trees and fields in the background.

The power curve is a fundamental concept in cycling performance analysis, offering insights into a cyclist’s capabilities across various durations. By understanding and utilising the power curve, cyclists can tailor their training programs to target specific strengths and weaknesses, ultimately improving their overall performance. In this blog, we will delve into what the power curve is, how it is measured, and its significance in training and performance evaluation.

 

Covered in the blog:

  • What is the power curve?
  • Measuring the power curve
  • Key points on the power curve
    • Peak power
    • Anaerobic power
    • Threshold power
    • Endurance power
  • Significance in training
  • Scientific basis
    • References
  • Summary

 

Cyclist riding for an extended period in a scenic countryside with rolling hills and fields.
A cyclist maintaining a comfortable pace during a long ride in the countryside.

What is the power curve?

The power curve, also known as the power-duration curve, is a graphical representation that shows a cyclist’s maximum power output over different time durations. It typically displays power (in watts) on the vertical axis and duration (in seconds, minutes, or hours) on the horizontal axis. The curve illustrates how power output decreases as the duration of effort increases, highlighting the relationship between power and endurance.

 

Measuring the power curve

To create a power curve, cyclists need to perform a series of maximal efforts at various durations. These efforts can range from short sprints lasting a few seconds to longer efforts lasting several hours. Modern power meters and cycling computers make it easier to record these efforts and analyse the data. Common tools used for this purpose include Humango.

 

Key points on the power curve

  1. Peak power: This is the maximum power output a cyclist can sustain for a very short duration, typically around 5-15 seconds. It reflects the cyclist’s explosive strength and anaerobic capacity.
  2. Anaerobic power: This represents the power a cyclist can sustain for efforts lasting from 30 seconds to about 2 minutes. It is influenced by both anaerobic and aerobic energy systems.
  3. Threshold power: Also known as Functional Threshold Power (FTP), this is the highest power a cyclist can sustain for about 60 minutes. FTP is a critical marker for endurance performance and is commonly used to set training zones.
  4. Endurance power: This represents the power a cyclist can sustain over long durations, such as several hours. It is a measure of aerobic capacity and endurance.

Cyclist climbing a steep hill in a mountainous landscape.
A cyclist exerting effort while climbing a steep hill, showcasing endurance power.

Significance in training

The power curve is a valuable tool for identifying strengths and weaknesses in a cyclist’s performance. By analysing the curve, coaches and athletes can tailor training programs to address specific areas. For example:

  • Improving sprint power: If a cyclist’s peak power is relatively low, targeted anaerobic interval training can help improve explosive strength.
  • Enhancing threshold power: If the FTP is a weakness, incorporating threshold intervals and tempo rides can boost endurance and sustained power.
  • Building efficiency: For cyclists aiming to improve long-distance performance, increasing efficiency through long, steady-state rides is essential.

 

Scientific basis

The power curve is grounded in exercise physiology and the principles of energy systems. Several scientific studies have explored the relationship between power output and performance. For instance, Skiba et al. (2012) discussed the development and validity of critical power and its application in endurance sports. Additionally, research by Karsten et al. (2016) examined the reliability of power-duration models in predicting performance.

 

Key references

  1. Skiba, P. F., Chidnok, W., Vanhatalo, A., & Jones, A. M. (2012). Modeling the expenditure and reconstitution of work capacity above critical power. Medicine and Science in Sports and Exercise, 44(8), 1526-1532
  2. Karsten, B., Jobson, S. A., Hopker, J., Jimenez, A., & Beedie, C. (2016). High Agreement between Laboratory and Field Estimates of Critical Power in Cycling. International Journal of Sports Medicine, 37(02), 105-108

Summary

The power curve is a powerful tool in cycling performance analysis, providing valuable insights into a cyclist’s capabilities across different durations. By understanding and leveraging the power curve, cyclists can optimise their training, address weaknesses, and enhance their overall performance. Whether you’re an amateur cyclist or an elite athlete, incorporating power curve analysis into your training regimen can lead to significant improvements on the bike.

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Pav Bryan

I’ve been disrupting the coaching industry for nearly a decade; forcing an introduction of personalising training to each individual, which is now widely adopted by other coaches as best practise.

Author of the Amazon Number 1 New Release book

The Guide to Truly Effective Cycling is aimed at individuals who are new to structured training, although most people will take something away from this and a lot of the information has been presented in a way different to the norm.

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Professional Cyclist at Team Katusha Alpecin