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Running Pace Calculator

Work out your running pace and speed, then predict your finish time for other race distances.

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About the Running Pace Calculator

This running pace calculator works out your pace per kilometre or mile and your average speed from a distance and finish time, then uses that effort level to predict what you would run for other common race distances — 5K, 10K, half marathon and marathon. The predictions use Riegel's formula, the same endurance-adjusted model race coaches and training plans commonly rely on, rather than a naive straight-line scaling that overstates what a longer distance actually costs.

How to use the Running Pace Calculator

  1. 1

    Enter the distance you ran or plan to run, in kilometres or miles.

  2. 2

    Enter your finish time, or a goal time, in hours and minutes.

  3. 3

    Read your pace per unit distance and your average speed.

  4. 4

    Check the predicted times table to see what the same effort level would produce over other common race distances.

What people use it for

Setting a goal pace for race day

Work out exactly what pace per kilometre or mile a target finish time requires, so it can be checked against a GPS watch during the race.

Choosing a realistic race distance

Use a recent training run's pace to see a realistic predicted time for an upcoming 10K or half marathon before committing to a goal.

Tracking improvement over time

Compare pace from the same route run weeks apart to see genuine, measurable progress rather than relying on how a run felt.

Riegel's formula, and why longer races take proportionally more time

Riegel's formula predicts a time for a new distance by taking a known time and multiplying it by the ratio of the two distances raised to the power of 1.06, an exponent derived from analysing large numbers of real race results across distances. Because the exponent is slightly above 1, doubling the distance more than doubles the predicted time — a runner who covers a 5K at a certain pace will run their 10K somewhat slower per kilometre, reflecting the real physiological cost of sustaining effort over a longer duration, rather than assuming pace holds perfectly flat.

Why predictions get less reliable over a bigger distance jump

Riegel's formula assumes broadly similar training and pacing discipline behind both distances, which holds reasonably well between distances that are physiologically similar, such as 10K to half marathon. Predicting a marathon time from a 5K result stretches that assumption much further, since marathon performance depends heavily on endurance-specific training — fuelling strategy, long runs, fatigue resistance — that a fast short-distance time says very little about. Treat a marathon prediction from a short race as an optimistic upper bound rather than a reliable target.

Tips

  • Use a recent, honestly-paced race or time trial rather than a single best-ever effort for the most realistic predictions.
  • Predictions between similar distances are far more trustworthy than a big jump, such as 5K to marathon.
  • Pace naturally varies with terrain and weather — compare like-for-like routes and conditions when tracking progress over time.

Frequently asked questions

How are the predicted times for other distances calculated?
Using Riegel's formula, the standard race-time prediction model: predicted time equals your known time multiplied by the ratio of the two distances raised to the power of 1.06. The exponent above 1.0 accounts for endurance fatigue over longer distances, which is why doubling the distance more than doubles the predicted time.
Why might my actual marathon time differ from the prediction?
Riegel's formula assumes similar training and pacing discipline across distances, which does not always hold — a 5K time reflects speed more than endurance, so predicting a marathon from it can be optimistic if long-distance endurance training has not kept pace. Predictions between similar distances, such as 10K to half marathon, tend to be more reliable than predicting a marathon from a 5K.
What is a 'good' pace?
It depends entirely on the runner, the distance and the terrain — there is no universal answer. Comparing your own pace over time on similar routes is a far more useful measure of progress than comparing against a generic benchmark.

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