Race Planning

Pace Calculator — Predict Your Race Time

May 15, 2026 7 min read Running

You ran a 10K in 42 minutes and want to know what to expect for a half marathon or marathon? That is exactly what pace prediction formulas are for. With the calculator below you only need to enter your race time once — you immediately get predictions for all standard distances plus target pace per kilometer.

Important upfront: predictions are not guarantees. They show you what would be possible under ideal conditions, provided your preparation is right. More on that below the calculator.

Pace Predictor
Pick your input distance, enter the time. The prediction appears automatically.
Yama automatically plans your workouts at the right pace — based on your current tests and form trends.
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How does the calculator work?

Behind the tool sits the Riegel formula — published by Peter Riegel in 1981 and the scientific standard for race predictions since. The formula:

T2 = T1 × (D2 / D1)1,06

In words: the new time (T2) for the target distance (D2) equals the known time (T1) for the input distance (D1), multiplied by the distance ratio raised to the power of 1.06.

The 1.06 exponent is empirically derived. It means: if you double the distance, your target time grows slightly more than double. Specifically: 21.06 ≈ 2.08 — you will be about 4% slower per kilometer over double the distance.

An example

You run a 10K in 42:00 minutes (= 2520 seconds). What would Riegel predict for your half marathon?

THM = 2520 × (21.0975 / 10)1.06
THM ≈ 5560 s ≈ 1:32:40

Where the formula is accurate — and where not

A large study (Vickers & Vertosick 2016) shows that the Riegel formula is very accurate for distances between 1500 m and 21 km in trained runners. In this range the typical deviation is below 2%.

For the marathon distance it begins to underestimate the time — it predicts faster marathon times than most runners actually achieve. The reason: after about 90 minutes of effort, factors come into play that the formula does not capture:

Rule of thumb: plan your marathon pace 3–5% more conservatively than the formula predicts. If the calculator says 3:30, plan realistically for 3:35–3:40 unless you are world class.

Grouped bar chart comparing Riegel marathon prediction with realistic marathon times for five 10K performance levels: 35:00, 40:00, 45:00, 50:00 and 55:00 minutes. At 35 min 10K the gap is only 3.9 percent, at 55 min 10K it grows to 9.8 percent.
The Riegel prediction underestimates marathon time more the slower the athlete. At a 10K time of 35 min the gap is below 4%, at 55 min it grows to nearly 10%.

When the formula does not work

Three situations where you should not trust the prediction:

  1. Very short distances: Below 1500 m, anaerobic energy systems dominate. A 400 m prediction from your 10K time is usually too fast.
  2. Ultra distances: Above 50+ km the real-world exponent is significantly higher (around 1.10–1.15). Specialized models exist for ultras.
  3. For untrained runners: The formula assumes sufficient aerobic base. If you have never run a half marathon, do not take the marathon prediction from a 5K time seriously — the endurance base has to be built first.

Which input distance is most accurate?

A simple rule: the closer the input distance is to the target distance, the more accurate the prediction.

Alternative formulas

Riegel is not the only method. Two other widely used approaches:

VDOT (Jack Daniels)

American coach Jack Daniels developed his own system in his book "Daniels' Running Formula": VDOT (a derived VO2max). Your race time is converted into a VDOT value, from which training paces and race predictions for other distances are derived. More accurate than Riegel in the marathon range, but more complex to use. The VDOT model also powers the training zones calculator if you want to derive your pace zones from it.

Higher exponent for long distances

For long distances you can nudge the Riegel exponent up slightly (about 1.07 instead of 1.06). Often more accurate than the original for marathons, worse for shorter distances.

How to use the calculator in practice

Three useful applications:

  1. Set a race goal time: After a recent 10K, you know what is possible at a planned half marathon — and can plan your pacing accordingly.
  2. Derive training pace: Your current fitness level gives you appropriate paces for tempo runs, long runs and intervals. To convert that into concrete zones, use the training zones calculator.
  3. Reality check for training plans: If a plan is preparing you for a 3:00 marathon but your 10K is 50 minutes, you know that either the goal or the plan is unrealistic.
◣ Practical tip

Calculate the prediction 4–6 weeks before your goal race, not 6 months before. Your current form is the only reliable indicator. What you ran a year ago has little to do with your next race.

Conclusion

The Riegel formula is a proven tool for realistic race predictions — especially in the range from 5K to half marathon. For marathons it gives you an ambitious upper limit that you should consciously set more conservatively in your goal-setting.

Important: the calculator is no substitute for training. It does not tell you what you can do, but what would be possible if your preparation is right. A marathon prediction from a 10K time presupposes that you have actually trained for the marathon — with enough long runs, volume and targeted preparation.

Frequently Asked Questions
How accurate is the Riegel formula?
The Riegel formula is very accurate for distances between 1500 m and 21 km in trained runners — typical deviation below 2%. For marathon distances it typically overestimates pace by 3 to 5 percent, because after about 90 minutes of effort additional factors come into play: carbohydrate stores, mental fatigue, heat, muscular fatigue. Plan your marathon pace more conservatively than the formula predicts.
What does the exponent 1.06 in the Riegel formula mean?
The 1.06 exponent is empirically derived — it describes how much pace declines as distance increases. If the value were 1.0, you could hold the same pace at any distance. Since it is larger, you slow down proportionally on longer distances. Specifically: at double the distance you need 21.06 ≈ 2.08 times as long — about 4% more time per km. For ultra distances the real-world exponent is even higher (1.10–1.15).
Which input is most accurate — 5K, 10K or half marathon?
The closer the input distance is to the target distance, the more accurate the prediction. For a marathon prediction, a recent half marathon time is most informative — ideally no older than 6 weeks. A 5K time is too short to predict a marathon and typically overestimates. For a 10K prediction, a 5K time works very well.
Does the formula work for swimming or cycling too?
The Riegel formula was developed for running distances and works best there. There is a similar rule of thumb for swimming with its own exponents, and cycling uses the Critical Power model instead (P = CP + W'/t). The pace predictor here works for running races only.
Why does the formula predict unrealistically fast times for very short distances?
Riegel works best for distances above 1500 m. For shorter distances like 800 m or 400 m, anaerobic energy systems dominate, which the formula does not account for. A predicted 800 m time from your 10K best is therefore unreliable — most recreational runners are worse over short distances than the formula predicts because they lack speed power.

Pace predictions automatically in your training

Yama uses your current race and test data to set pace targets for every workout — based on your actual form, not on old values.

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