Robert Kühnen
· 11.07.2026
From 4 July to 26 July, the world’s best cyclists will be competing in the Tour de France. Victory and defeat on the roads of France will be decided not only by the riders’ legs, but also by their equipment. The TOUR Tech Briefing for Stage 8.
Another flat stage is on the cards. There are just 1,150 metres of climbing to tackle over 182 kilometres. It’s a foregone conclusion: there’ll be a bunch sprint at the end, won’t there?
If the outcome seems so predictable, it could well be that the stage turns out quite differently. All it takes is a group of strong riders working well together, with a keen eye for timing and the ability to slice through the wind very effectively.
On the fifth stage, Baptiste Veitroffer of Team Lotto-Intermarché demonstrated with his breakaway for the gallery that even a single rider can put up a fight and maintain a fairly high pace for a sustained period. Admittedly, his solo attack was bound to fail, as a rider on his own can hardly hold his own against the peloton’s chase. The slipstream effect is simply too strong for that.
However, the situation changes when several strong breakaway riders join forces and provide each other with a slipstream. In practice, it is not the entire peloton that is working against the riders at the front, but only individual teams – and even then, not with all their riders. If two sprinters’ teams each deploy two riders to control the gap to the breakaway riders, there is already a stalemate against four breakaway riders. If the breakaway group is larger, a correspondingly greater number of riders must also work at the back. Depending on which teams have riders in a breakaway group, the number of teams seriously chasing from the rear may be small. This is because the GC teams will not get involved as long as their position is not under threat.
One tactic that breakaway riders can use is not to build up too big a lead at the start. This lulls the peloton into a false sense of security. If the peloton starts to ride harder in the final stages to close the gap, the breakaway riders who have been pacing themselves smartly will also step up the pace, because they have been conserving energy at the start. This can throw the chasers’ calculations off as to how much time they need to make up per kilometre.
In short: a successful escape is not very likely, but it is still possible.
That is why today we are analysing the importance of the terrain during a long breakaway. Our simulation begins 132 kilometres from the finish.
In the simulation, we assume that four riders will work together effectively in the breakaway group and, crucially, will be able to step up the pace towards the end of the race.
Under these conditions, even four riders could maintain an average speed of 47 km/h without completely exhausting themselves. The fastest average speed in the official pace table is 46 km/h.
The difference between the fastest and slowest bike on the list is 5 minutes and 40 seconds. Good aero bikes help breakaway riders transfer their power effectively to the road. A long breakaway is essentially a long team time trial, just without time trial bikes.
The closer road racing bikes get to matching the performance of time trial bikes, the better it is for today’s breakaway group.
An overview of the (almost) full line-up*:
The table shows that the aerodynamics of the wheels are key to a successful breakaway. Every watt counts. For wheels with the same aerodynamic performance, weight is the second deciding factor in the rankings.
The “Aero-Power” figure shown is the power measured by TOUR in the wind tunnel as required to overcome the aerodynamic drag of the bike and a dummy with moving legs at 45 km/h. For the simulation, we mathematically add the rider’s upper body and scale the drag to the actual race speed.
Based on our own wind tunnel tests, we carry out simulation calculations for the Tour de France tech briefing. How TOUR tests: Aero road bike test in the wind tunnel.
We are investigating which wheels can offer a technical advantage in which situations. The variables we can influence in the simulation include wheel weight, rider weight, the inertia of the wheels, the drag coefficient, the rolling resistance coefficient and the efficiency of the drivetrain.
To model ride times, we use realistic power outputs and rider weights, combine these with our wind tunnel data, and have the riders race virtually along selected sections of the route, which we extract from the official route data; the derived elevation profiles are key to this. The modelling also includes bends, which we can brake for realistically, and adjustable power profiles for different types of riders. This allows us to distinguish between attacks on climbs and proper final sprints. Taken together, this makes the simulation very realistic. What we cannot replicate, however, are dynamic driving effects such as the individual behaviour of the wheels on different road surfaces.
The journey times calculated for the sections of the route that are decisive for the race highlight the influence of the wheels – provided that the riders always behave in the same way in a given scenario.

Editor