Metrics, in plain words
What Strava's Fitness score actually measures
It is a 42-day exponentially weighted average of your daily training load, computed from heart rate. It measures how much you have been training, not how fit you are. That is why it can fall 10 points during the block where your 5K time improved.
| What | Number | The qualifier |
|---|---|---|
| What it actually is | 42-day average of training load | a smoothed dose, not a fitness test |
| How much one run moves it | about 2.4% | the weight a 42-day average puts on today |
| What it needs | heart rate on every run | runs without it score zero or get estimated |
| Freshness | fitness minus a 7-day average | negative in a hard week by design |
| Comparable between people? | No | it depends on your own zones and baseline |
What is the Fitness score actually measuring?
Your training load, averaged over about six weeks. Nothing else.
Each run gets a load number from your heart rate and how long you ran. Those daily numbers feed a 42-day exponentially weighted average. That average is the line labelled Fitness.
The model is older than the app. Banister and Calvert published it in 1980, and it has been in coaching software ever since under the name chronic training load. One runner on a forum put the correct answer in nine words: it _does not track fitness but chronic training load_.
Why does it fall when I am getting faster?
Because volume and speed are different things, and the chart only knows one of them.
Consider two consecutive months. In month one you run 60 km (37 mi) a week, all easy. In month two you cut to 40 km (25 mi) and add two hard sessions. Your total load falls. Your 5K time improves. The Fitness line goes down.
| What changed | Load | Your 5K |
|---|---|---|
| More easy volume | up | slower or flat |
| Same volume, more intensity | slightly up | faster |
| Less volume, more intensity | down | faster |
| Taper for a race | down | much faster |
The last row is the one that catches people out. A good taper always lowers this number. If it did not, the taper would not be working.
Why is it built on heart rate, and why does that matter?
Because heart rate is the only intensity signal most watches have for every run. It is also the weakest link in the chain.
The load calculation uses your heart-rate reserve, which needs your maximum and your resting rate. Most people have never measured either. If your maximum is a formula guess that is 10 bpm too low, every run scores as harder than it was, and your Fitness line is inflated for months.
Three practical consequences:
- A run recorded without a heart-rate strap or watch may score nothing at all.
- Hot weather raises heart rate at the same pace, so summer inflates the line.
- Two runners doing identical training will have different numbers.
If you want to sanity-check your own zones, the heart rate zone calculator shows what five different methods say your maximum is, and how far apart they are.
How do I tell which case I am in?
This is the decision rule. Look at the last four weeks and answer in order.
| What you see | What it means | What to do |
|---|---|---|
| Fitness down, volume down | you trained less | nothing, if that was the plan |
| Fitness down, volume same | intensity or heart-rate data changed | check for missing heart-rate runs |
| Fitness down, race times better | you traded volume for quality | ignore the line |
| Fitness down in taper week | the taper is working | ignore the line |
| Fitness flat for months, times flat | a genuine plateau | change something |
Only the last row is a training problem. The other four are the metric describing something other than what its name suggests.
What should I look at instead?
Three things, in this order.
Your race and time-trial times. The only direct measure of fitness on this list. A 5K every six weeks tells you more than any chart.
Your pace at a fixed easy heart rate. If you cover more ground at 140 bpm than you did in March, you are fitter. This is the single most useful trend a running app can show you, and it needs no model at all.
Weekly volume and how many weeks you strung together. That is what the Fitness line is really tracking, so you may as well read it directly.
The glossary entry on training load covers what goes into the daily number, and our method page gives the exact time constants we use, which are the same 42 and 7 days.
Would a better name fix this?
Mostly, yes. Almost every complaint about this metric is a complaint about the word Fitness sitting above a chart of training volume.
Call the same line Training load and the confusion goes away. The chart becomes useful immediately: it shows whether you are building, holding or backing off, which is what it was designed to show in 1980.
We name it that way in Inertial for exactly this reason. It is not a better model. It is the same model with an honest label.
Questions runners actually ask
- Why did my fitness score drop while I got faster?
- Because the score follows training volume, not speed. A block that swaps long easy runs for short sharp ones lowers total load while improving your 5K. Both things are true at once, and only one of them is on the chart.
- Is a fitness score of 60 good?
- It is not anything on its own. The number depends on your heart-rate zones, your recent baseline and how many runs carried heart rate. Two runners of identical ability can sit 30 points apart. Only its direction over weeks means something.
- Why does my fitness fall when I take a rest week?
- A day with no run enters the average as zero. That is the model working: the decay is how it represents detraining. A single easy week moves the 42-day line by only a few points.
- Should I try to keep freshness positive?
- Not during a training block. Freshness is meant to be negative when you are training hard and positive when you taper. Chasing a positive number all year means never training hard enough to need recovery.
Sources
- Banister EW, Calvert TW. Planning for future performance. Can J Appl Sport Sci 5(3):170-176, 1980 primary
- Morton RH, Fitz-Clarke JR, Banister EW. Modeling human performance in running. J Appl Physiol 69(3):1171-1177, 1990 primary
- Busso T. Variable dose-response relationship between exercise training and performance. Med Sci Sports Exerc 35(7):1188-1195, 2003 primary
- Borresen J, Lambert MI. The quantification of training load. Sports Med 39(9):779-795, 2009 primary
- Strava support: Fitness and Freshness (accessed 1 September 2026) vendor
Changelog
- — First published.