Printed on 7/26/2026
For informational purposes only. This is not medical advice.
This calculator predicts your finish time at other race distances based on a recent race or time-trial result, using the Riegel formula (T2 = T1 x (D2/D1)^1.06) — a widely used and well-validated race-time prediction model in exercise science. Enter a known time from any distance and get predicted times, along with per-mile and per-kilometer pace, for 1 mile, 5K, 10K, half marathon, and marathon.
Formula: T2 = T1 × (D2 / D1)^1.06 (Riegel formula)
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Use a recent race time or a hard, honest time-trial effort at any of the five standard distances.
The calculator applies T2 = T1 x (D2/D1)^1.06 to project your time at each of the other four distances.
See predicted finish times plus per-mile and per-kilometer pace for each distance, useful for race planning and training pace targets.
Recreational and competitive runners
Use a recent 5K result to set a realistic marathon goal time, or vice versa, before committing to a specific finish-time target.
Runners choosing a training block
Many training plans are organized around a goal pace. Predicting your likely time at the target distance helps you pick the right plan intensity.
Race-day runners
Knowing your predicted per-mile and per-km pace ahead of time helps you avoid starting too fast, a common cause of late-race fade.
Runners tracking improvement
Recalculate periodically as your times improve to see how your predicted performance shifts across all distances, not just the one you raced.
Runners switching race distances
If you're a proven 10K runner considering a first half marathon, this gives a starting-point estimate before you've raced that distance.
Riegel's formula works best when predicting a distance reasonably close to your known result. Predicting a marathon time from a 1-mile time trial is far less reliable than predicting it from a half marathon result.
Race-day adrenaline, competition, and taper typically produce a truer maximal effort than a solo training run. If using a training time, make sure it was a genuine hard effort.
The formula assumes you've done distance-appropriate training. A fast 5K runner with no long runs will likely underperform their predicted marathon time due to endurance limits, not pacing.
Heat, hills, wind, and race-day nerves can all cause actual times to differ from the prediction. Treat the output as a strong starting estimate, not a guarantee.
Your predicted times shift as your fitness changes. Recalculating after each new race result keeps your training paces and goal times current.
Per-mile and per-km pace figures are directly usable on a GPS watch during training runs and races, making them more actionable day-to-day than the total finish time alone.
The Riegel formula was developed by Pete Riegel ("Athletic Records and Human Endurance," American Scientist, 1981) from analysis of world-record and elite performance data across distances, and remains one of the most widely cited race-time prediction models in running and exercise science literature. The 1.06 exponent reflects the empirically observed rate at which pace slows as race distance increases.
The predicted times show what you might realistically run at other distances if you trained and paced appropriately for each. They are projections based on a mathematical relationship, not guarantees — actual results depend heavily on distance-specific training, pacing execution, and race-day conditions.
Per-mile and per-kilometer pace figures are provided so you can use them directly for pacing strategy or setting a GPS watch alert during training and racing.
Use this calculator when setting a goal time for an upcoming race at a distance you haven't run recently, when choosing which training plan intensity fits your current fitness, or when developing a pacing strategy from a known fitness benchmark.
It's most useful when your known result is a genuine, recent maximal effort at a comparable distance to the one you're predicting.
Riegel's formula assumes consistent training and pacing ability across distances, which doesn't hold for runners who specialize heavily in one distance without building the endurance base for longer ones. It also doesn't account for course terrain, weather, altitude, or race-day variables like nutrition and pacing execution.
Predictions become less reliable the further apart the known and target distances are — predicting a marathon from a mile time is far less reliable than predicting a 10K from a 5K time.
For related assessments, see VO2 Max Estimator, Heart Rate Zones and Calories Burned Calculator.
Disclaimer: This tool is for educational and informational purposes only. It is not a substitute for professional medical advice, diagnosis, or treatment. Always consult a qualified healthcare provider with questions about your health.
April 21, 2026 · trust-baseline
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