Prédicteur d'Allure de Course

Dernière mise à jour: 2026-05-09

Le Prédicteur d'Allure de Course est une calculatrice sportive gratuite. Predisez votre allure de course pour differentes distances. Avec precision a 10+ decimales. Utilise par des professionnels et etudiants dans le monde. Optimisez votre entraînement avec des données précises.
Données
Résultat
Entrez les valeurs et appuyez sur Calculer
Common Sizes — Click to Fill
Tiempo_min (min) Distance (km) (km)
Beginner 12.5 min 2.5 km
Intermediate 18.75 min 3.75 km
Advanced 25 min 5 km
Elite 37.5 min 7.5 km
Pro 50 min 10 km

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?

  1. 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)?

  1. 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.

Utilisations courantes

  • 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.

Conseil pro

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.

Écrit et révisé par l'équipe éditoriale de CalcToWork. Dernière mise à jour : 2026-05-09.