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Health
Turn a recent performance into a race goal and see how reliable that reference is.
Compare how time and pace change using the same reference performance.
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Riegel adjusts the expected pace between distances, but it cannot account for your training or race-day conditions.
A recent, all-out race usually provides a more useful reference than a controlled training effort.
Uncertainty increases when the target distance is very different from the reference distance.
The formula accounts for expected fatigue. Use the running pace calculator for exact pace conversions or splits.
The central prediction uses a Riegel exponent of 1.06 and retains full internal precision.
Target time = reference time × (target distance ÷ reference distance)1.06. The scenarios use exponents of 1.03, 1.06, and 1.09 to show different levels of performance retention.
It is a model that estimates your time for another distance from a known performance. It accounts for the fact that pace usually slows as distance increases.
It is a mathematical estimate, not a guarantee. It is generally more useful when your reference performance is recent, represents an all-out effort, and is close to your target distance.
Yes, but uncertainty is high. Marathon-specific training, endurance, and nutrition have a much greater effect over that distance.
The formula accounts for the increasing difficulty of maintaining the same pace as distance rises.
Use a recent race or all-out effort, ideally over a distance and in conditions similar to your goal event.
It does not adjust for them automatically. You can indicate whether conditions were comparable to better understand the uncertainty.
The running pace calculator assumes a constant pace. This calculator uses a performance model to estimate how pace changes across distances.