Incline Calculator for Trail Runners
Convert gradient between %, degrees, ratio, and rise/run. See energy cost and power hike threshold based on Minetti et al. (2002).
The science behind this tool
Minetti et al. (2002) measured the energy cost of running and walking at extreme inclines on a treadmill, using oxygen consumption as a proxy for metabolic cost. The result was a 5th-degree polynomial that maps grade to energy cost — a model that has become the standard reference for trail running science.
Why downhill isn't free: At mild descents (around −10%), energy cost drops below flat running because gravity does some of the work. But at steep descents below −20%, cost rises again. The muscles must absorb kinetic energy through eccentric contractions — the same mechanism that causes post-race quad soreness after a mountain race.
The polynomial model is non-linear for a reason: running efficiency peaks near flat, deteriorates sharply on steep uphills, and the downhill optimum is around −10% to −15%. This is why race courses are designed to include some downhill — not because descent is "free" but because a specific descent range recovers energy.
Power hiking threshold: According to Koop (2021), most runners find that above approximately 15% grade, walking (power hiking) becomes more mechanically efficient than running. The energy cost of maintaining running form at steep grades is simply too high. Elite mountain runners transition earlier; recreational runners often benefit from transitioning sooner than they instinctively do.
Minetti AE et al. (2002). Energy cost of walking and running at extreme uphill and downhill slopes. J Appl Physiol. 93(3):1039–46. Koop J. (2021). Training Essentials for Ultrarunning. VeloPress.
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TrailMath uses these models to build periodized plans adjusted to your goals and terrain.
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