A Power-Duration Curve (with accompanying Mean-Max Power curve)

𝐘𝐨𝐮 𝐟𝐚𝐭𝐢𝐠𝐮𝐞 𝐦𝐨𝐫𝐞 𝐬𝐥𝐨𝐰𝐥𝐲 𝐚𝐭 𝐥𝐨𝐰𝐞𝐫 𝐢𝐧𝐭𝐞𝐧𝐬𝐢𝐭𝐢𝐞𝐬

Intuitively, this is obvious.

If you run easy, you can run for a longer time, and the easier you run, the longer you can keep running (within your personal limits).

What’s not obvious is that there is a mathematical relationship between your intensity (your effort) and how long you can hold it.

𝐓𝐡𝐞 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡

In 1977, Peter Riegel researched the relationship between runners’ performances over different distances and concluded that an exponential curve could predict race times for runners, given a performance at another distance – the slow component of fatigue follows an exponential curve.

Riegel expanded on his thesis in 1981, stating that his formula concerned “activities in the endurance range, lasting between 3-5 and 230 minutes.”

Riegel’s formula plots time versus distance. Work by Van Dijk and Van Megen in 2017 concluded that there’s a similar relationship between power and time.

The curve is always exponential but may be flatter, showing better fatigue resistance, or steeper, showing worse fatigue resistance for longer events.

𝐖𝐡𝐲 𝐢𝐬 𝐭𝐡𝐢𝐬 𝐮𝐬𝐞𝐟𝐮𝐥?

Knowing the slope of your curve and the event distance, it’s possible to predict how well you might perform for a longer event (e.g. a Half-Marathon), where the slow component dominates.

𝑺𝒉𝒐𝒖𝒍𝒅𝒏’𝒕 𝒚𝒐𝒖 𝒃𝒆 𝑹𝒖𝒏𝒏𝒊𝒏𝒈 𝒘𝒊𝒕𝒉 𝑷𝒐𝒘𝒆𝒓?

Questions?
📖 Getting Started

For more information on the research, please see:
🔹 Riegel, P., (1981) Athletic Records and Human Endurance: A time vs. distance equation describing world-record performances may be used to compare the relative endurance capabilities of various groups of people.
🔹 Van Dijk, H. & Van Megen, R. (2017) The Secret of Running. Maidenhead: Meyer & Meyer Sport (UK) Ltd

You fatigue more slowly at lower intensities

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