AR3-GP wrote: ↑17 Sep 2026, 18:36
Two points:
1) Austria is a high-altitude outlier. The data is averaged from Rd4 to Rd13. With such a massive data set (Rd4 to Rd13), the average is much more representative than the outlier. Ferrari experienced a circuit specific PU degradation in Austria related to smaller turbo and high altitude.
2) You're showing plots that illustrate top speed, not "time on straight". Top speed can be completely uncorrelated with power in this ruleset (that's why Haas and Cadillac are always randomly at the top of the speed traps despite 3rd best PU). Any team can delay the deployment to the end of the straight to get a higher top speed at the expense of worse acceleration. Weak cars like Haas and Cadillac don't have the grip to use full 1000hp from low speed, so they are more likely to defer some of the electrical deployment to higher speed range where it can be used (but at a lower efficiency) instead of just generating wheel spin at low speed which is 100% energy loss. Time on straight is a far more accurate metric when comparing PUs and there is a reason why the Mercedes powered teams are clustering at the top, followed by RBPT, followed closely by pre-ADUO Ferrari. Because that's the actual PU pecking order.
The nice thing about a time on straight analysis is that it completely removes the straight specific deployment differences because time on straight is a cumulative property. By the end of the lap, everyone has used all of the energy allowed across all of straights. Deployment differences are effectively normalized.
1. I picked Austria because its a type of track that would really punish a weak PU. But in Silverstone as well, Ferrari were struggling in the straights. They just came up with a very good deployment strategy that negated some of that. Mercedes copied it, RedBull did not, so it's hard to directly compare.
2. A little bit more to unpack here.
Firstly, I wasn't looking at the top speeds. I guess it's fairly easy to see that the Ferrari line is lower than the others (when they follow a similar deployment strategy) across the entire straight and not just at the top end. There is no way for the average to turn out higher when you're slower all the way through.
Secondly, any team can do what you say with regards to deployment, but they would be stupid to do so because the fastest way through the straights, 99/100, will be to deploy as much as you can early on to boost acceleration rather than wait to build up speed and then accelerate to a higher top speed. So there's no reason for any team not to deploy at the beginning of the straights. Even the worse cars that you mentioned, would only be slightly limited at the beginning of the traction zone. As soon as they're through the corner, even if they're not full throttle, it doesn't make sense to delay deployment, because they would be losing even more time. Bad exit from bad traction + on top of that you want to delay deployment as well? Disaster for laptime. And it's mostly true this season where they have limited deployment available and it's very common for them to run out of battery between straights. You can think about it intuitively as well. If you add 20 kmh at the beginning of the straight, you benefit from that all the way through the straight. If you add it in the middle or towards the end, you don't benefit that much from it before you start breaking.
Thirdly, can you please link the source. I need to know more about the methodology to make a proper comment on those numbers. Do they (the person who did this) explain how they got the numbers? What is considered a straight? At which point do they start to count the time and when do they end it? Is there any aggregation going on and if yes what kind?
Now coincidentally, I was working on something like this for f1insightshub. I haven't made it public yet, so I had to spin up the local server to get the charts, but they're completely different from what you've shown here. You can see my methodology down there at the bottom.
