Last-lap battle, analysed!

🟢ALO overtook 🔵PER in the 2nd DRS zone (20km/h difference)

Gap increased to 0.7s after PER lost crucial time in S2 due to dirty air📈

On the finish line, PER was going 26km/h quicker!

Free trial of JMP Software to replicate the analysis:
https://www.jmp.com/en_gb/download-jmp-free-trial.html?utm_source=youtube&utm_medium=referral&utm_campaign=formuladataanalysis

Dataset:
https://drive.google.com/file/d/1Jm165Fl0dZvtHLMaDJzDLSe94ES7nJ87/view

Here's a video tutorial to get you started on making your own analyses:

https://www.reddit.com/r/F1DataAnalysis/comments/17n0umk/formula_data_analysis_video_tutorial_in_this/

Insights on ALO vs PER photo-finish!

Checo was 26km/h faster on the line due to DRS+Tow+Less draggy car.

At 328km/h, the final gap (0.053s) amounted to just 4.82m! (less than a car length).

Perez overtook Alonso just 0.66s after the end of a 71-laps race!

Gap to Verstappen - change during Laps 60-71

🔼NOR: 5s gained [Newest tyres, same as VER]
🔽STR: 4s lost (quicker than Alo due to fresher tyres + not having to defend)
⏬SAI/GAS: 9s lost
⏬ALO/PER/TSU: 10s lost
⏬🚨HAM: 15s lost despite pitting as early as Gasly's

Team Pace per Tyre Compound

🟨Mediums
🔵RB>🟠McL>🟢Aston>🔴Ferrari>🟢Mercedes
(Ferrari had severe wear; Mercedes simply didn't have pace)

⬜️Soft
🔵RB>🟠McL>🟢Aston>🔴Ferrari>🟢Mercedes
(McL had severe wear; Ferrari too but less so)

What surprised you the most?🤔

McLaren’s data include Piastri as well, which had a significantly slower pace than Norris

I’ve kept him in the analysis to show that despite that McLaren had excellent pace on average!

The 🔴Softs were better than the 🟡Mediums over a stint:

-Much better pace off the pits
-Degradation was higher, but they only got worse after 27 laps!

The Hards would have been even worse than the Mediums: teams correctly avoided them (temperature was low, too).

Average Pit Stop Times:

🔵Red Bull🥇
🟢Mercedes🥈(0.25s lost per pit)
🟢Aston Martin🥉(0.26s lost per pit)

Download a free trial of JMP through this link👇

https://www.jmp.com/en_gb/download-jmp-free-trial.html?utm_source=youtube&utm_medium=referral&utm_campaign=formuladataanalysis

A few F1 datasets to use with JMP:

https://drive.google.com/drive/folders/1NeOZwEhtyInpDCUlQI7tiCjXTegYrK-O

Video tutorial:
https://www.reddit.com/r/F1DataAnalysis/comments/17n0umk/formula_data_analysis_video_tutorial_in_this/

Weekly reminder that you can JOIN the CHAT channel to discuss my analyses OUTSIDE of the 'comments'!
👇Use this link👇
https://news.1rj.ru/str/FDataAnCHAT

I was interviewed by Shifra from @LunarCrush about:
-the general use of Telemetry in F1 and other fields
-the strategies I used to grow this page from scratch
-my expectations/predictions for the Las Vegas GP
And much more!

👇Watch it here👇

https://www.youtube.com/watch?v=VbzUQpXajgs

Sainz after the start: “I just hope we bin this clutch, as soon as we're back in Maranello”.

He was the slowest driver up to 200km/h: he needed 0.7s more than the quickest ones! (Ocon and Zhou).

⏫Best:🔴Alfa🚀 (5.55s average)
⏬Worst:🟢Aston💀 (6.05s average)

Positions through the Brazil GP

-VER only lost the lead for 3 laps, by pitting earlier. NOR's pace at the end was phenomenal due to the late pit!
-Just 9 drivers did not get lapped. PIA finished 2 laps down.
-Mercedes' terrible pace is clear (Hamilton lost 5 places).

Tyre Strategies🛞

🟠NOR did the longest stint: 32 laps on Mediums➡️He had the newest tyres at the end, which allowed him to get the fastest lap point!

His teammate 🟠PIA did the longest stint on Softs (28 laps).

OCO did just 12laps after the restart!