A/B/C goal range
The goal range turns one prediction into an aggressive A goal, realistic B goal, and conservative C goal so race day is not locked to one fragile number.
Use a recent race result to predict a target finish time, compare equivalent race distances, and turn the estimate into aggressive, realistic, and conservative race goals.
Last updated: June 15, 2026
Standard Riegel-style profile for recent, comparable road race efforts.
The input and target distances are close enough for a useful pacing target.
| Goal | Time | Pace |
|---|---|---|
| A goalAggressive | 51:20 | 08:15 /mi |
| B goalRealistic | 52:07 | 08:23 /mi |
| C goalConservative | 53:25 | 08:35 /mi |
| Distance | Time | Pace |
|---|---|---|
| 1 mile | 07:31 | 07:31 /mi |
| 5K | 25:00 | 08:02 /mi |
| 10K | 52:07 | 08:23 /mi |
| 10 mile | 01:26:18 | 08:37 /mi |
| Half marathon | 01:55:00 | 08:46 /mi |
| Marathon | 03:59:46 | 09:08 /mi |
Predicted = known time x (target / known)^1.06 Riegel-style endurance formula. Higher exponents assume more slowdown over longer targets.The goal range turns one prediction into an aggressive A goal, realistic B goal, and conservative C goal so race day is not locked to one fragile number.
The predictor turns one recent result into equivalent 1 mile, 5K, 10K, 10 mile, half marathon, and marathon estimates so you can compare goal distances before committing to one target.
Choose beginner, regular, or advanced to change the endurance exponent. Higher exponents create more conservative longer-distance predictions; lower exponents assume less slowdown.
This tool uses transparent Riegel-style exponents. Some calculators use Cameron-style variable exponents, so compare predictions as planning ranges instead of treating one formula as exact.
The confidence note checks distance similarity, marathon stretch, and profile choice, then widens the goal range when the formula needs more caution.
Predicted time = known time x (target distance / known distance)^k, where k is the selected fatigue profile: 1.08, 1.06, or 1.04.
Estimating similar road race performances, comparing equivalent race times, and choosing a first target pace when fitness, terrain, weather, and pacing are reasonably comparable.
Fatigue profiles are planning assumptions. Predictions get weaker when the target is much longer or shorter than the known race, or when terrain, heat, altitude, fueling, and endurance training differ.
A 25:00 5K predicts roughly 52:07 for 10K with the regular 1.06 profile; the beginner profile is more conservative for longer target distances.
Documents the formula choice, unit handling, assumptions, and limits behind this calculator.
Supports the power-law race-time prediction structure and fatigue exponent context.