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Aerodynamic analysis at the Tour de France: why measuring your CdA changes everything

aerodinámica8 min readBorja Alfaraz

Aerodynamics

80-90 %

Of your power goes to overcoming the air at 45 km/h on the flat.

This is why CdA is the dominant variable in a time trial, and measuring it the highest-return lever.

Abstract. This article explains why aerodynamics is the highest-weight variable in a time trial, how Tour de France teams treat CdA as an engineering discipline, and why measuring it —rather than estimating it— is the highest-return intervention in a performance programme.

In a Tour de France time trial, the gap between winning and finishing fourth is measured in seconds per kilometre. And those seconds almost never come from pedalling harder — they come from cutting through the air better. At racing speed, aerodynamics is not a detail. It is the dominant variable.

The air is the opponent, not the mountain

The power you need to move forward is split, essentially, across three resistances: gravity (climbing), rolling resistance (tyre against tarmac) and air. On the flat and at race speed, aerodynamic drag eats almost all of it:

At 45 km/h, between 80% and 90% of your power goes purely into overcoming the air.

The reason is physics: aerodynamic power grows with the cube of speed. The formula used by both the wind tunnel and the AthletePro engine is:

Paero = ½ · ρ · CdA · v³

Where ρ is air density, v is speed relative to the wind and CdA is the drag coefficient times frontal area: how much, and how badly, you hit the air. Of all those terms, CdA is the only one over which the rider has enormous — and cheap — control.

How Tour teams chase CdA

The top teams have spent years treating aerodynamics as an engineering science, not a hunch. Their toolbox is well known:

  • Wind tunnel and CFD (computer simulation of airflow) to compare positions, helmets and frames with numbers, not feelings.
  • Position on the bike: dropping the torso, narrowing the elbows and tucking the head can be worth more than any carbon component.
  • Fabric and helmet: skinsuits with zone-calculated textures, TT helmets, shoe covers. Small gains that add up.
  • Details: bottle placement, cable routing, even socks — the famous ‘marginal gains’ philosophy.

None of those decisions is made by eye. It is made by measuring: change one variable, measure CdA, compare. That loop is what separates the rider who actually improves from the one who only thinks they do.

Why CdA is the most cost-effective lever

Think about the cost of improving each thing. Raising your threshold power by 20 watts takes months of structured training — and there is a physiological ceiling. Finding 0.02 m² of CdA by adjusting your position can take an afternoon, costs no physiology and never expires.

To get a sense of the magnitude: in a flat time trial at ~45 km/h, cutting CdA by 0.01 m² (from 0.25 to 0.24, perfectly achievable by narrowing the elbows) is like handing yourself roughly 7-10 watts of effective power. Over 40 km, that is tens of seconds. In the pro peloton, entire races.

The catch: you cannot improve what you do not measure

Here is the trap almost everyone outside the World Tour falls into: assuming a CdA. ‘A road cyclist is around 0.30,’ says the textbook. But your real CdA depends on your height, your flexibility, your specific position, your clothing, your wheels and even whether you are wearing arm warmers. Two riders of the same weight and power can have CdA values that differ by 15%.

And that difference poisons any plan. If your pacing software assumes 0.30 and your real CdA is 0.27, every time, every speed and every watt-by-watt split will be wrong. You will have optimised for a rider you are not.

Guessing CdA is not a shortcut: it injects an error that every other number in the plan then depends on.

The good news: you do not need a wind tunnel

For years, measuring CdA was a privilege of those with tunnel access. Not any more. From a normal ride — power meter and GPS with altitude — you can estimate CdA with a virtual-elevation technique (Robert Chung’s method): the algorithm searches for the CdA value that makes the elevation profile reconstructed from your power match the real one of the route. When the two line up, you have your CdA. No facility, no fortune spent.

This is exactly the approach AthletePro Super Record brings: you upload a ride file and get your measured CdA, with its R² reliability, and that number — your real number — then feeds the watt-by-watt power plan. The same marginal-gains logic as the Tour, but in your garage.

In short

  • At race speed, the air is your main opponent: up to 90% of your power.
  • CdA is the cheapest, fastest lever to go faster on the same watts.
  • Tour teams do not guess CdA: they measure it, change a variable and measure again.
  • You can do the same from a normal ride thanks to the virtual-elevation method.

In the next article we get into the how: the field protocol to measure your CdA with the Chung method, step by step.