Running Pace Predictor
Running Pace Predictor. Free online calculator with formula, examples and step-by-step guide.
Running Race Time Predictor: Riegel formula
This calculator predicts your race time at a target distance based on a known time at another distance, using Riegel's formula which accounts for accumulated fatigue.
Riegel's formula
The predictive formula is:
T2 = T1 × (D2 / D1)^1.06
Where T1 is the known time, D1 is the known distance, D2 is the target distance and 1.06 is the fatigue exponent. This exponent reflects that pace decreases as distance increases.
Example 1: from 5K to 10K
Problem: You run 5 km in 25 minutes. What would be your 10 km time?
- Calculation:
- T2 = 25 × (10/5)^1.06 = 25 × 2^1.06 ≈ 25 × 2.08 ≈ 52.0 minutes.
Answer: Estimated 10K time: 52:00.
Example 2: from half marathon to marathon
Problem: Half marathon (21.1 km) in 1h 50min (110 min). Marathon time (42.2 km)?
- Calculation:
- T2 = 110 × (42.2/21.1)^1.06 = 110 × 2^1.06 ≈ 110 × 2.08 ≈ 228.8 min ≈ 3h 49min.
Answer: Estimated marathon time: 3:49:00.
Common uses of the race predictor
- Setting time goals for races at different distances.
- Planning target pace for a competition.
- Evaluating whether a target time is realistic.
- Comparing relative performance across different distances.
- Planning training periodization.
- Staying motivated by seeing potential progression.
Common mistakes with time prediction
- Not considering that the formula assumes specific training for the distance.
- Using unrepresentative race times (with stops or adverse conditions).
- Predicting very large jumps (5K to ultramarathon) where the formula loses accuracy.
- Ignoring factors like course profile and weather conditions.
Pro tip
Riegel's formula is more accurate for similar distances. If predicting from 5K to marathon, add 5-10% to the result because fatigue affects longer distances more.
Generally within 5% for nearby distances. For large jumps (5K to marathon), the error margin can be 10-15%.
Yes, but the fatigue exponent may differ. For walking, an exponent of 1.04-1.05 may be more appropriate.
Divide the estimated time by the distance. For example, 52 min in 10K = 5:12 min/km.
Train specifically for the target distance, include long runs and tempo sessions. Prediction improves with adequate training.