Riegel’s formula predicts race times. Free online Marathon Time Predictor. Calculate marathon time predictor online — fast, accurate, mobile-friendly, no signup
Predicted time (min)
230.038858
Derivation
├── 01Givent = 50, d1 = 10, d2 = 42.2
├── 02Formulat × (n / a)^(1.06)
├── 03Substitute50 × (n / a)^(1.06)
└── 04Compute Predicted time (min)230.038858
Did you know?
Pheidippides ran ~40 km from Marathon to Athens in 490 BCE to announce victory — then died. The modern 42.195 km distance was fixed at the 1908 London Olympics so the royal family could watch the finish.
§01What is
Understanding the Marathon Time Predictor
The Marathon Time Predictor computes Predicted time (min) from 3 inputs: known time (min), known distance (km), target distance (km). Riegel’s formula predicts race times.
Games and puzzles mix math with pattern-spotting. Whether it’s a lottery combination, a dice probability, or a game-theory decision, the numbers behind the fun are worth running properly.
The Marathon Time Predictor sits in that toolkit — it riegel’s formula predicts race times. Enter your numbers above and the result updates instantly; every step of the math is shown in the Derivation panel so you can see exactly how the answer was reached.
§02The Formula
How it’s calculated
t × (n / a)^(1.06)
Where
t
Known time (min)
d1
Known distance (km)
d2
Target distance (km)
§03Practical Example
Step-by-step walkthrough
Scenario
Apply the formula to a realistic set of inputs: Known time (min) = 50, Known distance (km) = 10, Target distance (km) = 42.2.
01Start by noting the input — Known time (min): 50.
02Start by noting the input — Known distance (km): 10.
03Start by noting the input — Target distance (km): 42.2.
04Substitute these values into the formula: t × (n / a)^(1.06)
05Compute Predicted time (min): the calculator returns 230.039.
06Cross-check the answer by opening the Derivation panel above — every line of math is shown so you can follow the computation end-to-end.
§04Variants
Common Marathon Time Predictor Problems
The formula gets rearranged depending on which variable you need. Here are the patterns you’ll run into in the real world — find the one that matches your problem and follow the worked steps.
01 · PATTERN
Known time (min) halved
t = 25 (from 50)
Keep every other input at its default and halve the known time (min). See how predicted time (min) responds.
01New Known time (min): 25
02Baseline Predicted time (min): 230.039
03New Predicted time (min): 115.019
04Predicted time (min) decreases by 50% → use this sensitivity to plan for real-world variation.
02 · PATTERN
Known time (min) doubled
t = 100 (from 50)
Keep every other input at its default and double the known time (min). See how predicted time (min) responds.
01New Known time (min): 100
02Baseline Predicted time (min): 230.039
03New Predicted time (min): 460.078
04Predicted time (min) increases by 100% → use this sensitivity to plan for real-world variation.
03 · PATTERN
Known distance (km) halved
d1 = 5 (from 10)
Keep every other input at its default and halve the known distance (km). See how predicted time (min) responds.
01New Known distance (km): 5
02Baseline Predicted time (min): 230.039
03New Predicted time (min): 479.615
04Predicted time (min) increases by 108.5% → use this sensitivity to plan for real-world variation.
04 · PATTERN
Known distance (km) doubled
d1 = 20 (from 10)
Keep every other input at its default and double the known distance (km). See how predicted time (min) responds.
01New Known distance (km): 20
02Baseline Predicted time (min): 230.039
03New Predicted time (min): 110.334
04Predicted time (min) decreases by 52% → use this sensitivity to plan for real-world variation.
§05FAQ
Frequently asked questions
Yes. The calculator implements the standard formula as documented and returns exact floating-point results. No approximations are used unless noted in the formula.
Your feedback
How useful was this calculator?
Your ratings stay in your browser — they help us learn which tools people actually rely on.