Minor detail for the general audience: the ride in question lacks actual power meter measurements. It's pretty likely that the cyclist in question wanted to keep her power meter data off Strava, as she is a prominent professional road racer.
If there's no power meter data, Strava estimates power using an algorithm. It has speed from the cycling computer (albeit if speed was measured by GPS, there will be some imprecision). It also knows the elevation profile of the route. It should also know the rider's weight - or at least, the weight the rider entered into Strava, which may or may not be current. It will make assumptions about rolling resistance and several things related to aerodynamic drag. Notably, air density changes with temperature, and I believe Strava assumes something like a 15C temperature for all rides. It also assumes the rider's coefficient of drag area - and this will vary depending on your position and to a lesser extent, your bicycle.
Thus, the algorithm-estimated power data are a best guess. For many athletes, they may be good enough. There may be some edge cases where they are a poor guess - e.g. if your position is particularly aerodynamic or un-aerodynamic, if the air pressure markedly departs from the assumption, etc. So, this doesn't affect the arithmetic of getting from reported calories to average power over the ride. It affects more the validity of the estimated power.
Another step in the arithmetic, as others have mentioned, is the assumption of gross efficiency. That is, normally a power meter measures the power you put into the drivetrain. However, our bodies aren't perfectly efficient at converting energy from food into motion about the rider's gross efficiency. So, work done field on Strava, which is in kJ, is the amount of work you did to your drivetrain, measured by the powermeter or the Strava power algorithm. The calories burnt field, in calories, is an estimate of how much energy your body burned to do the reported amount of work on the drivetrain.
One study I found (and cited in a comment) estimated that of its sample of experienced female cyclists, the average gross efficiency was 23.2%, with a standard deviation of 3.5 percentage points at around their functional threshold power. That is, if the sample is representative, 95% of female cyclists should have gross efficiency within about 2 standard deviations of the mean - implying a range of 16.2% to 30.2%. That's quite a big range. Men may have a slightly lower gross efficiency.
This is just one study. There may be other studies on gross efficiency, which I didn't bother to search for. If you are searching on Pubmed, "gross efficiency" may be a standard keyword, which would make it easier to search. Note that not all studies may use the same standard keyword, however. Unlike functional threshold power, I don't believe there's a practical way to measure your own gross efficiency outside of a lab test in an exercise physiology lab.
As a worked example from my workouts, on a recent 78.4 mile ride, Strava reported:
- 1,916 kJ total work (i.e. measured at the drivetrain)
- 1,963 calories burnt (i.e. estimated work done by my body)
The original post is correct that calories and kJ actually measure total energy. Using the conversion factor of 4.184 kilojoules (i.e. thousand joules, which the OP missed) to 1 calorie, we do get 8,213.192 estimated kJ burnt by the body.
RChung's comment states that Strava assumes a gross metabolic efficiency around 0.215, i.e. Strava assumes that every calorie burnt by the body will put 0.215 calories of work into the drivetrain. The linked study reports that the average GE for trained male cyclists at 60% of max aerobic power was 0.217 (with a standard deviation of 0.016). I believe that 60% of MAP is around a tempo speed, maybe around 60-70% of functional threshold power. Dividing 1,916 (total work done to drivetrain) by 8,213 (energy expended by body), I get 0.233.
Taking the 1,916 kJ of work done to the drivetrain and dividing by 0.217 (average efficiency of a trained male cyclist), I get 8,829 kJ of energy burned by the body. This should be 2,110 calories.
Now to illustrate the effect of individual variation. About 68% of people are within 1 standard deviation of the mean of a normal distribution, i.e. we'd expect that 68% of trained male cyclists have GEs between 0.201 and 0.233. Those translate to calorie (i.e. expended by body) estimates of 2,278 and 1,965. It's a wider range if you're looking at people within 2 standard deviations of the average.
Basically, if you are on a strict diet, then do remember that even with a power meter, you should refine your intake depending on other measurements, like weighing yourself regularly. I am not currently aware of a practical method to estimate your own gross efficiency.
1J = 1Ws, whereJ,W, andsare the units Joule, Watt, and second, respectively. Please correct the formula in the first paragraph. Also note that Americans have the annoying habit of calling the kilo-caloriekcal, or big calorieCal, simply calorie. Which, of course, is plain wrong. And which easily, and unnecessarily confuses such calculations by a factor of 1000:1cal = 4.184Jand1kcal = 1Cal = 4.184kJ. – cmaster - reinstate monica Mar 10 '22 at 17:17