#F1 Forensics: The Top 4 Laptimes of the #BelgianGP

Brought to you by TheJudge13 Technical Analyst Tourdog

Want to know who were the four fastest cars on track at the 2015 BelgianGP? Look no further. TJ13 Tecnhical Analyst, Tourdog, has done the maths and the resutls are out.

Click Here to view this table and chart in a new window.

For more interesting numbers visit the CHANCERY’S ARCHIVE

22 responses to “#F1 Forensics: The Top 4 Laptimes of the #BelgianGP

  1. Do you have Vettels lap times? They would be interesting too, certainly when compared to the ones from Grosjean.

    • He was on a slower 1 stop strategy, but it’s still impressive he was running in 3rd. Ferrari was a solid midfield car in Spa.

        • My pleasure.
          I actually hadn’t watched the race yet when I created that table, so I didn’t know Vettel was so close to the leaders.
          It makes sense to include him.

          It is kind of amazing how consistent his lap times were over that many laps.
          The time gained by burning off fuel seemed about equal to time lost due to tire wear.
          or maybe he was just driving the sh*t out of that car..

  2. Thanks Tourdog, wonderful info.

    Very interesting to see how the VSC times stacked up.

    I’d have thought the VSC would have gifted RoGro a quicker in/out lap (as he could make up the delta over the course of his out lap) but looks like RoGro technically lost a couple of secs (on the mercs anyway) during the VSC (as did Daniil), with pit stop time costing on average about 6-7 seconds drop for the others in normal racing conditions he lost out more than that over the 2 laps of the VSC , but the strategy clearly worked out overall.

    fascinating reading anyway…thanks again 😀

    • Yes the VSC times fascinated me as well. Part of it is where the cars were in their lap when the VSC lifted. Further back meant more time full speed on the partial second lap. But the gaps *between* cars changed as well, due mostly to the fact that instead of speed a delta time is prescribed, allowing drivers to go fast and then slow down at the end of each sector to still make the time.

    • Not sure I understand you. Yes, RoGro lost 6-7 secs by pitting but under green flag conditions he would have lost about 18 secs, so the net is he gained 11-12 secs.

      • Hi KenC,

        thanks for the pointer, yup my maths were way off, I only counted the drop on in lap not out lap as well for the other drivers stopping under race conditions, more caffeine required before looking at tables of numbers 🙂

        that makes much more sense now to me.

        I have RoGro losing out about 11 secs to say Nico (including taking his pit stop) who seemed to fare the best under the VSC. But then when Nico pits under race conditions he lost about 17 s as you say over his in lap (4 slower than previous) and out lap (13 slower than following) , so yup RoGro did indeed gain time on the stop to the tune of 6 s over Nico.

        Still cracking race by RoGro though 😀

        Plus stellar numbers by Seb on the old tyres to be fair

    • I’m guessing seconds? Those are the lap times in second, such as 120.000 would be 2 min 0s, below that is 1min 5Xs etc. Or do you mean something else?

      • Hey Henrik.
        Yes, as I said in the intro, lap times are in seconds only, just as you described.
        Spreadsheets have a difficult time calculating times when they show up in multiple formats, so to make things easier, I have converted all times to just seconds.

          • That was JM’s fault.
            He wrote the intro, I did the hard stuff.
            We will keep it there to remind him to check his own work:)

        • The intro on my page says, “Want to know who were the four fastest cars on track at the 2015 BelgianGP? Look no further. TJ13 Tecnhical Analyst, Tourdog, has done the maths and the resutls are out”.

        • I missed the Forensics article, thank you for pointing it out. I now feel guilty, imagining the hours you have spent on sorting data, that I hadn’t read the prequel.

  3. Love the effort!!

    Can you break the data down into stints excluding outliers. Which basically means excluding in/out laps and off-track escapades (so maybe 110% of average). Then take the average lap time per stint/tyre compound. Right now its hard to tell at a glance who had the best first stint but having an avg laptime excluding outliers would remedy that.

    This way be can look at raw pace. It still wouldn’t be perfect because a longer stint would be on average slower….soooo also include the number of laps per stint to give more colour.

    Basically I want more!!!! Greedy I know…..

    • I had contemplated adding another category called “stint”, to give us another way to break up the race, as I was building the file.
      I decided that it would be difficult to break up the practice sessions in that way because the drivers do so much in and out of the pits, swapping tyre compounds and changing their fuel loads, such that it wouldn’t really work. I also wanted to try and keep things consistent, not having a bunch of unique parameters for each session, so I tried to use the “lap type” field to accomplish the same thing.
      I can in fact filter out those outlying laps you speak of and spit out average times.
      This table and graph are really just the tip of the iceberg. I wanted to simply give a good graphical representation of lap times with this one.
      I have more coming that break down the times by tyre, and session. Team mate comparisons, highest ave speed, a single compound averaged over all sessions, there are a ton of possibilities.

      I think I know what you are asking for, Im just not sure how to display it in a way that is understandable, and there are limits to what the spreadsheet I am using can do. I will contemplate it.

      I have one table already finished that is pretty close to what you are asking for, and should de posted as soon as the UK wakes up.

      Go ahead and be greedy, asking to see more of my work is a pretty high compliment from my perspective. So thanks.

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