Mile-kilometre pace

Do you ever read about mile pace wanting to know the corresponding kilometre pace, or the other way around? You can use this section to convert pace.

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Time and distance to pace

Here, you can calculate pace based on a total time and distance, either in mile or kilometer pace.

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Pace to speed

Here, you can convert pace (time per kilometre or mile) to speed (kilometre or mile per hour).

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Pace to lap time

Here, you can convert pace (time per kilometre or mile) to lap time (400m).

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Yasso

A 'yasso' is a 800m interval which you run in the time of your marathon, in terms of minutes and seconds. For instance, a runner aiming at a marathon in 3 hours and 30 minutes should run a yasso in 3 minutes and 30 seconds. While you can clock these times easily on a track, I find it handy to use kilometer or mile pace, which spans 1000 or 1609 meters. You can calculate this yasso pace here.

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VO2max

VO2max is the maximum rate of oxygen consumption measured during incremental exercise. It is a general measurement of fitness. You can estimate it here. See the reference tables at machars.net to interpret your own VO2max value. A lab test is the most reliable way of measuring your VO2max, but it is expensive. This calculator uses Jack Daniels's formula.

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Training paces

This training paces calculator is based on percentages, using the multiplication method (see Pace percentage). Please use the numbers as indications, not as scientifically informed predictions. (So do what feels good, not what a calculator tells you!).

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Riegel predictor

This prediction calculator is based on Peter Riegel's (1977) article for Runner's World. He proposed a formula for comparing relative performances at different distances. The formula is predicted time = given time * (new distance/original distance)^1.06.

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Cameron predictor

This prediction calculator is based on David Cameron's (1998) formula published for Statistical Services of A. C. Nielsen Co.. He used a number of times of world-level athletes from 400M to 50 Miles in a non-linear regression model to predict race times. I'll present the formula below.

predicted time = (time_in/distance_in)*distance_out*((13.49681-0.000030363*distance_in+ 835.7114/distance_in*0.7905)/(13.49681-0.000030363*distance_out+835.7114/distance_out*0.7905).

Luckily, you can just select your own time at a certain distance and predict your time for another distance without any statistical knowledge.

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