Daniel Ricciardo put in a stonking lap during Q3 at the 2023 Mexican GP! Here’s a comparison between him and Checo which showcases how he made up the massive straight line deficits.

    • JJROKCZ@lemmy.world
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      8 months ago

      I mean sure, but you can’t ignore the fact that he also qualified faster than Perez who is in the significantly better car. We need to see how Brazil goes to see if it was just a track suiting AT or something

      • soEZ@lemmy.world
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        8 months ago

        Would be a good confirmation…but when u see max pull the laps he does in same car…perez should be at least managing to keep up, not get consistently outdone by slower cars…its maybe okay he gets 3/4th but beignout of top 5 so often is pretty bad… It would be fine as well if he would convert these out of top 5 places to podium but it seems half the time he can’t finish the race…i do wounded if Red Bull will bother keeping him for next year…there been no improvement at all over last races… And lewis is really close to grabbing that second place…might get down to part race, will surely exciting.

      • CaptDust@sh.itjust.worksOP
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        8 months ago

        Video is comparing the quali laps, and it’s pretty clear Perez is not pushing the RB to it’s potential. All the gains the car makes through the straights are negated by Ricciardo’s later braking and better approach into turns, I think Checo is facing a real problem if he cannot adjust quickly.

      • Microw@lemm.ee
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        8 months ago

        The whole weekend suggests that this track suited AT well. But maybe they truly are on the upswing and could do well in Brazil.

  • kurtosisoftheliver@lemmy.world
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    8 months ago

    What telemetry is available to generate these animations? Is it all just from transponders? Are there enough transponders for such granular speed resolution? I think the FIA has direct access to some amount of onboard telemetry, which would make more sense than transponder data. If so, how is the car’s lateral position determined?

    I’m sure the teams are more than capable of deriving this, but how much is proprietary?

    • CaptDust@sh.itjust.worksOP
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      8 months ago

      Not the author of the video but I’m guessing most data comes from FastF1 or a similar telemetry data API. FastF1 can provide timing data, speed, rpm, gear, normalized track position etc.