Norris had a blistering start and overtook Hamilton, Alonso and Stroll in one shot! 📈

0-200km/h (Gap to NOR)
HAM: +0.2s
ALO: +0.4s
STR: +0.5s

All (except STR) went full-throttle at the same time, but NOR could use more throttle before that (and upshifted earlier).

📊 Race Pace Analysis:

Mercedes was SLOWER than the 'tractor' W13: Hamilton was 0.46s/lap slower! 📉 😳
2022: Fastest car (Ferrari 2nd, RB 3rd).
2023: 7th fastest (behind Alpine and AlphaTauri)! Only Williams, Haas and Alfa Romeo were slower than them.

TSU and STR gained 1.3s/lap over '22; RIC was unlucky as he had excellent pace!

Ferrari jinxed themselves: their poster for the #BrazilGP foretold everything!😳

The driver, the location… only the tyre compound does not match!🤯

Honestly unbelievable! 😭

Perez's gap to Alonso during the thrilling last lap!🔥

Fernando crucially increased the gap to 0.7s in the twisty second sector: he got the podium by 0.053s, or less than 5 metres!🤏

Weekly reminder that you can find ALL my socials and extra content through THIS link
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🔵Perez: highest top speed (339km/h)📈
🟢Alonso: lowest (324km/h)📉

Fernando drove brilliantly to fend off Perez!
Conscious of his drag disadvantage, he harvested heavily before the braking zones to deploy the energy at the beginning of each straight. 🏆

Alonso only used the DRS on the main straight once, at the end of lap 70, which explains his lower maximum speed compared to Stroll.

Verstappen and Norris used it just 4 times.

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/