Running Pace Converter (min/km, min/mile, km/h, mph)

Running Pace Converter (min/km, min/mile, km/h, mph)

Convert between minutes per kilometre, minutes per mile, km/h and mph in every direction, get finish times for the mile, 5K, 10K, half and full marathon, work backwards from a goal time, and see an equivalent performance from Riegel’s published model with its stated range of validity computed for your own pace.

Pace, speed and race times

Pace ⇄ speed ⇄ finish time, with Riegel
For a pace this only matters as the base for the equivalent-performance estimate. For a goal time it is the race.
Riegel’s model, which is valid for efforts between 3.5 and 230 minutes. The page works out what that is in kilometres at your pace.
1.06 is the figure Riegel published for running. He gave 1.05 to 1.06 for recreational men aged 40 to 70 and 1.08 for elite runners, and the spread moves a marathon prediction by about a quarter of an hour.
A marathon drawn as a line with a tick at every kilometre — a geometry, not a circuit. The taller marks are every fifth kilometre, the two short drops below the line are 5 km and 10 km, and the full-height marks are halfway and the finish. Drawn to scale for the marathon, which is the default target; the line does not change when you pick another distance. Everything below is live, and the Riegel figure is the one to read carefully: it is a prediction from a model with a stated range of validity, not a measurement.
5.000min/kmExample

5:00 per kilometre, with a 5K as the base and the marathon as the target

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Exact arithmetic for the units, a named model for the rest

min/mile = min/km × 1.609344  ·  km/h = 60 / (min/km)  ·  T2 = T1 × (D2/D1)b, b = 1.06
1.609344
kilometres in a mile, exactly, from the 1959 international yard of 0.9144 m
b
Riegel’s endurance exponent. 1.06 for running; he gave 1.05 to 1.06 for recreational men aged 40 to 70 and 1.08 for elite runners
range
Riegel stated the model for efforts lasting 3.5 to 230 minutes. In distance that depends on your pace, which is why the page computes it
42.195 km
the marathon. The half is 21.0975 km and the mile 1 609.344 m

Worked example

5:00 per kilometre, with a 5K as the base and the marathon as the target
5 minutes 0 seconds is 300 s per kilometre, which is 5.000 min/km
Per mile that is 300 × 1.609344 = 482.80 s, which is 8:2.8 — and the speed is 3 600 / 300 = 12.0 km/h, 7.456 mph
Held flat, that is 25.00 minutes for 5 km, 3.516 hours for the marathon
Riegel takes the 5K time of 25:00 and scales it: 1 500 × (42 195 / 5 000)^1.06 = 14,387 s, which is 3:59:46 — 28.8 minutes more than flat 5:00 pace would give
At 5:00 per kilometre, Riegel's 3.5-to-230-minute window runs from 0.70 km to 46.0 km, so the marathon is just inside it — and Vickers and Vertosick would still read that 3:59:46 as at least ten minutes optimistic

The pace and speed identities, which are the easy part

min/kmmin/milekm/hmphm/s5K10KHalfMarathon
3:004:4920.0012.435.55615:0030:001:03:172:06:35
3:305:3717.1410.654.76217:3035:001:13:502:27:40
4:006:2615.009.324.16720:0040:001:24:232:48:46
4:307:1413.338.283.70422:3045:001:34:563:09:52
5:008:0212.007.463.33325:0050:001:45:293:30:58
5:308:5110.916.783.03027:3055:001:56:023:52:04
6:009:3910.006.212.77830:0060:002:06:354:13:10
7:0011:158.575.332.38135:0070:002:27:404:55:21
8:0012:527.504.662.08340:0080:002:48:465:37:33
9:0014:296.674.141.85245:0090:003:09:526:19:45
Straight arithmetic, and the only thing to be careful of is the mile: 1 609.344 m exactly, from the international yard, so a pace per mile is a pace per kilometre multiplied by 1.609 344 and a speed in mph is one in km/h divided by it. The finish-time columns assume a flat, even pace from gun to tape, which nobody runs — positive splits are the norm and the equivalent-performance model above exists precisely because pace decays with distance. The half marathon is 21.0975 km and the marathon 42.195 km, which are exactly double one another to the metre.

Equivalent performances from a 25:00 5K, at Riegel’s 1.06

DistancekmRiegel predictionPace, min/kmAt a flat 5:00/km for comparisonRiegel adds, minutesInside Riegel’s 3.5 to 230 minute range?
The mile (1,609.344 m)1.60930:07:314:400:08:02-0.5inside
5 km5.00000:25:005:000:25:000.0inside
10 km10.00000:52:075:120:50:002.1inside
Half marathon (21.0975 km)21.09751:55:005:271:45:299.5inside
Marathon (42.195 km)42.19503:59:465:403:30:5828.8OUTSIDE
The fifth column is what the distance would take if you could hold 5:00 per kilometre all the way, and the sixth is what Riegel’s exponent adds on top. That addition is the whole content of the model: a single number, 1.06, standing for the fact that nobody holds their 5K pace for a marathon. Two things to notice. The mile sits at 7:31 here, which is FASTER than 5:00/km pace, because the exponent works downwards as well as upwards. And the marathon prediction of 3:59:46 is the famous one: Vickers and Vertosick, looking at 2,303 recreational runners, found Riegel “dramatically underestimated marathon time, giving times at least 10 min too fast for half of runners”. Read it as a floor, not a target.

Riegel’s range of validity is a DURATION range, so it is a different distance range for every runner

Your pace3.5 minutes is230 minutes isIs the marathon inside it?
3:00 per km — a fast club runner1.17 km76.7 kmYes
4:00 per km0.88 km57.5 kmYes
5:00 per km0.70 km46.0 kmYes
6:00 per km0.58 km38.3 kmNo — beyond the range, and the prediction is extrapolation
7:30 per km0.47 km30.7 kmNo — beyond the range, and the prediction is extrapolation
9:00 per km — a walk-run pace0.39 km25.6 kmNo — beyond the range, and the prediction is extrapolation
This is the correction worth making to every race-equivalency calculator on the internet, including the ones that cite Riegel by name. Riegel’s 1981 analysis concerns “activities in the endurance range, namely lasting between 3.5 and 230 minutes” — a range of TIMES, not of distances. Convert it into distances and it moves with the runner: at 3:00 per kilometre the model is validated from 1.17 km to 76.7 km, and at 7:30 per kilometre only from 0.47 km to 30.7 km, which puts the marathon outside it. So a slower runner using Riegel to predict a marathon from a 10K is extrapolating past the end of the model as well as using an exponent fitted to somebody else, which is exactly the combination Vickers and Vertosick found to fail.

The arithmetic, and then the model with its limits stated

The unit conversions on this page are trivial and are not why it exists. A pace per mile is a pace per kilometre times 1.609344, which is exact; a speed is 3 600 divided by a pace in seconds per kilometre. What is worth having is the second half: what a pace means at other distances, according to a named model, with the model’s own limits stated instead of quietly ignored.

The model is Riegel’s. Peter Riegel published it in American Scientist in 1981 after fitting world-record performances in running, swimming and walking: the time for a distance goes as T₂ = T₁ × (D₂/D₁) raised to the power b, and for running b = 1.06. Double the distance and the time goes up by 2^1.06, about 2.08 rather than 2 — and that small excess, applied over and over, is the entire content of the model. From a 25:00 5K it predicts 3:59:46 for the marathon.

It has a stated range of validity and almost nobody quotes it. Riegel’s analysis concerns efforts “in the endurance range, namely lasting between 3.5 and 230 minutes”. That is a range of times, not of distances, and the difference matters enormously, because the same range covers different distances for different runners. At 3:00 per kilometre the model is inside its own validated window from 1.17 km to 76.7 km. At 7:30 per kilometre it runs only from 0.47 km to 30.7 km — which puts the marathon outside it. So a four-hour-plus marathoner predicting from a 10K is extrapolating past the end of the model, and this page says so rather than printing a number and looking confident. It computes the window for your pace and tells you whether the prediction you asked for falls inside it.

And where it fails, it fails in one direction. Vickers and Vertosick looked at 2 303 recreational endurance runners in 2016 and found that Riegel “dramatically underestimated marathon time, giving times at least 10 min too fast for half of runners” — their own models cut the mean squared error from 381 to around 210. The reason is not arithmetic: it is that the exponent was fitted to records set by people whose endurance matched their speed, and a recreational runner’s usually does not. Riegel himself gave different exponents for different groups, 1.05 to 1.06 for recreational men aged 40 to 70 against 1.08 for elites, and the exponent is an input on this page for exactly that reason. Moving it across his own range changes that marathon prediction by about 16 minutes.

Read the marathon number as a floor. That is the one piece of advice the evidence actually supports. If Riegel says 3:59:46 from your 5K, a sub-four is what you would run with marathon-specific endurance to match the speed you have demonstrated over five kilometres, and the honest planning assumption for a first marathon is ten to twenty minutes slower than that. The shorter predictions — 10K from 5K, half from 10K — are much better behaved, because they are interpolations inside the fitted range rather than extrapolations past its end.

The splits. The table under the chart gives kilometre-by-kilometre cumulative times for whichever distance you choose, both at the pace you entered and at the pace the Riegel equivalent would need. An even split is a model and not a plan: almost every recreational marathon is run with the second half slower than the first, and the fact that this happens to everybody is precisely why the endurance exponent is greater than one.

For the distances themselves: the mile is 1 609.344 m exactly, the half marathon 21.0975 km and the marathon 42.195 km, which is exactly twice the half to the metre. For gradients — because a hilly course is a different question and the pace model here assumes a flat one — the slope and grade converter handles per cent grades and their published limits.

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Frequently asked questions

How do I convert min/km to min/mile?

Multiply by 1.609344, which is the number of kilometres in a mile and is exact, not a rounding — it follows from the international yard of 0.9144 m agreed in 1959. So 5:00 per kilometre is 5 × 1.609344 = 8.0467 minutes per mile, which is 8 minutes and 2.8 seconds. Going the other way, divide.

What pace do I need for a sub-four-hour marathon?

4 hours over 42.195 km is 5.688 minutes per kilometre — 5 minutes and 41.3 seconds — or 9.154 minutes per mile, at 10.549 km/h. Put the goal time in on this page and it gives you the pace and the kilometre splits.

How accurate is a race time predictor?

For the distance either side of the one you ran, reasonable. For a marathon predicted from a 5K, poor — and the research is specific about the direction of the error. Vickers and Vertosick studied 2,303 recreational endurance runners and found that Riegel’s formula “dramatically underestimated marathon time, giving times at least 10 min too fast for half of runners”, with their own models substantially outperforming it. The sensible way to read the marathon number on this page is as the time you would run if your endurance matched your speed, which for most people it does not.

What is Riegel’s formula?

T₂ = T₁ × (D₂/D₁)^1.06. Peter Riegel published it in American Scientist in 1981, from an analysis of world-record performances in running, swimming and walking, and 1.06 is the exponent he gave for running. It says that when you double the distance, the time rather more than doubles — by a factor of 2^1.06, about 2.08 — and that the excess is remarkably constant across distances. It is the model behind almost every race-equivalency table you will meet, usually without being named.

When does Riegel’s formula stop working?

Outside efforts of 3.5 to 230 minutes, which is the range Riegel himself stated — and the important thing about that is that it is a range of TIMES. Turned into distances it moves with the runner: at 3:00 per kilometre it covers 1.17 to 76.7 km, and at 7:30 per kilometre only 0.47 to 30.7 km, which leaves the marathon outside. This page computes your own window and says whether the prediction you asked for falls inside it. The model also assumes an athlete whose training is balanced across distances; Riegel himself gave different exponents for different groups — 1.05 to 1.06 for recreational men aged 40 to 70, 1.08 for elites — which is why the exponent is an input here.

Why does the exponent matter so much?

Because it is an exponent. Moving it across Riegel’s own published range of 1.05 to 1.08 changes a marathon predicted from a 25:00 5K by about 16 minutes. That is far larger than the difference between any two sensible pace calculators, and it is the honest reason predictions disagree: they are not using different arithmetic, they are using different exponents or a different model altogether.

What are the kilometre splits for my race?

The table under the chart on this page gives them for whichever distance you pick, at the pace you entered and at the pace your predicted equivalent needs. Worth saying plainly that an even split is a model rather than a plan: almost every recreational marathon is run with positive splits, the second half slower than the first, and the whole reason Riegel’s exponent is bigger than one is that this happens to everybody.

Related calculators

References

  1. Riegel PS. 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. American Scientist 1981;69(3):285–290. The source of T₂ = T₁ × (D₂/D₁)^b and of b = 1.06 for running. Riegel’s analysis concerns activities in the endurance range, namely those lasting between 3.5 and 230 minutes, and covers running, swimming and walking; he reported different exponents for different groups, including 1.05 to 1.06 for recreational men aged 40 to 70 and 1.08 for elite runners.
  2. Vickers AJ, Vertosick EA. An empirical study of race times in recreational endurance runners. BMC Sports Science, Medicine and Rehabilitation 2016;8:26. doi:10.1186/s13102-016-0052-y. 2,303 recreational endurance runners, split 2:1 into training and validation sets. The Riegel formula “dramatically underestimated marathon time, giving times at least 10 min too fast for half of runners”, with mean squared errors of 228 and 208 for their own models against 381 for Riegel. Also the finding that weekly training mileage and interval training had similar associations with velocity at all race distances.
  3. World Athletics competition rules for road-race distances: the half marathon is 21.0975 km and the marathon 42.195 km. The mile is 1 609.344 m exactly, which follows from the international yard of 0.9144 m agreed in 1959 by the national standards laboratories of the Commonwealth and the United States.
  4. National Institute of Standards and Technology. NIST Handbook 44, Appendix C, General Tables of Units of Measurement. The US liquid gallon is 231 cubic inches exactly and the international inch is 25.4 mm exactly; every volume on this page descends from those two definitions.
  5. Every identity on this page was round-tripped numerically rather than taken on trust, and Riegel’s equation was checked for composition — predicting 5K to 10K to marathon gives the same answer as 5K to marathon — and against a hand-worked example, in _c02b_proof.py.