Plain Words Running data, in plain words.

Metrics, in plain words

Why your watch and your app predict different race times

They are answering different questions. A watch predicts from your recent training and an aerobic estimate; an app usually applies a formula to one race. Neither knows your weekly volume. From a 25:00 5K, three published models already put the marathon 6 minutes apart.

The numbers on this page, in one place.
WhatNumberThe qualifier
What a watch usesestimated aerobic capacityfrom pace at heart rate across recent runs
What an app usually usesone race resultRiegel or a similar formula
Spread across 3 models, 25:00 5Kabout 6 minutes at the marathon3:57:55 to 4:03:59
Wearable aerobic estimateswithin about 5 ml/kg/min of a labPassler et al. 2019
What improves predictionweekly mileageVickers & Vertosick 2016, n = 2,497

Why do two apps give me different race times?

Because they are not doing the same sum.

A watch estimates your aerobic capacity from how fast you run at a given heart rate, across many recent runs. Then it maps that estimate onto a race time. It is describing the shape you are in.

Most apps and web calculators do something simpler. They take one race result and apply a published formula, usually Riegel's from 1981. They are describing one performance.

SourceInputWhat it is really saying
Watchrecent pace at heart ratewhat your engine looks like
App or calculatorone race timewhat that race implies
Coaching platformyour logged trainingwhat your load supports

A runner on a forum summed it up better than either vendor does: _Garmin is your potential and Strava is closer to what you can do right now_. That is not precisely true, but it points at the real difference.

How far apart are they, really?

Further than most people expect, and the gap grows with distance.

Take a 25:00 5K. Run it through three published models and the marathon predictions are 3:59:47 (Riegel), 3:57:55 (VDOT) and 4:03:59 (Cameron). That is a spread of six minutes, before a watch is involved at all.

Now change one thing. Riegel's exponent is 1.06 in his original paper, but many calculators quietly use 1.07 for the marathon. On an 18:00 5K that single decimal moves the answer from 2:52:38 to 2:56:22.

ModelMarathon from a 25:00 5K
Riegel, exponent 1.063:59:47
Daniels-Gilbert VDOT3:57:55
Cameron4:03:59
Spread6 min 4 s

Nobody is broken. They are three fits to different data, and none of them was built for you specifically. The race predictor here prints all three for that reason.

What do all of them get wrong?

The same thing: they have no input for endurance.

Every model on this page extrapolates speed. None takes your weekly volume, your longest run, the course, or the weather. Those are the four things that actually decide a marathon.

Keogh and colleagues reviewed the published equations in 2019 and found they consistently over-predict marathon performance for recreational runners, with the error growing as the extrapolation gets longer. Vickers and Vertosick (2016), working with 2,497 recreational runners, found that adding weekly training volume improved prediction beyond any race-time-only formula.

Watch predictions carry a second error on top. Their aerobic estimate is itself approximate: Passler and colleagues found wrist devices land within about 5 ml/kg/min of a laboratory test. That is enough to move a marathon prediction by several minutes.

Which number should I actually pace off?

Here is the rule. Work down it and stop at the first line that applies.

Your situationWhat to pace off
Raced the same distance in the last 6 weeksthat time, adjusted for the course
Raced a half within 6 weeks, targeting a marathonthe half, doubled, plus 8 to 12 minutes
Only a 5K or 10K, targeting a marathonthe slow end of the model range, as a ceiling
Under 60 km (37 mi) a week for a marathonthe slow end, and expect to be slower
No race at alldo not pace off a prediction; pace off effort

The half-marathon rule is worth stating plainly because it is the most useful one on the list. Doubling your recent half and adding eight to twelve minutes lands closer for most club runners than any watch figure, and it needs no app.

Once you have your target, the pace calculator turns it into splits and a halfway time.

When is the disagreement itself the useful signal?

When the models spread wider than about 2% of your target time.

A tight spread means the distances you are extrapolating between are close and your input race was well executed. A wide spread means you are asking a formula to guess about ground it has no information on.

In that case, do not pick a number. Pace the first half at the slow end of the range and decide at halfway, where you will have better information than any model has. That is not a compromise. Your split at halfway is real data about today, and every prediction on this page is a statement about a different day.

If you want to know what the models mean rather than what they say, the glossary covers the Riegel formula and what a race predictor is.

Questions runners actually ask

Garmin says 3:18 and Strava says 3:47. Which one do I pace off?
Neither, on its own. Pace off the closest race you have actually run, extrapolated by a stated formula, and treat the watch figure as an upper bound. If you have not raced recently, pace off your longest hard training run instead.
Why is my watch prediction so much faster than my real times?
Because it reads speed at a heart rate, and speed is the easy half of a marathon. It has no input for your longest run. Runners under about 60 km per week see the biggest gap between the prediction and the finish.
My app predicted 3:39 and I ran 3:08. Is it broken?
No, it was answering a narrower question than you were. A formula applied to an old or slow input race gives a slow answer. Feed it your most recent, best-executed race and it gets much closer.
Which distance should I predict from?
The closest one to your target that you have raced within about six weeks. A marathon from a half is worth taking seriously. A marathon from a 5K is a statement about your speed, not your endurance.
Do these get better if I run more?
The formulas do not change, but their accuracy for you does. Vickers and Vertosick found weekly mileage improved prediction beyond race time alone, which is another way of saying the formulas over-predict for people who have not done the volume.

Sources

Changelog

  • — First published.