TOP SPEEDS - Austin GP

RUS reached 344km/h! Plenty of slipstream+DRS during his comeback.

VER was slowest - by far. Just 313km/h, as he never used DRS on the main straight. That's low even considering that.

PIA's drag was high: lowest top speed with (326) and without DRS (312).

Mexico City GP offers a unique challenge:
The ~20% lower air density (due to altitude) reduces downforce and drag massively.
⬇️
- High drag not as critical (will help McL)
- High downforce even more crucial!

Often highest top speeds of the season despite the high-downforce wings. 💡

Cars will be sliding significantly due to the decreased downforce and the slippery tarmac.

📸 @pirellisport

In the race, Charles Leclerc was on average over THREE SECONDS PER LAP quicker than last year... using the same strategy (Medium➡️Hard)! 🤯

Track conditions alone cannot explain this impressive improvement... and now Ferrari is given over 1 in 4 chances of getting the WCC. 🍀

The team also introduced a more flexible front wing, providing at least two benefits:
-Reduced drag at high speed;
-Speed-dependent aero balance (Low speed: more front downforce ➡️ better agility and overall grip; High speed: less front downforce ➡️ better stability, aiding driver confidence).

Race pace Improvement by other drivers:
NOR: 2.44s/lap (one less stop than in ‘23)
VER: 2.04 s/lap (one less stop than in ‘23)
SAI: 2.55s/lap (one less stop than in ‘23)

Even SAI, despite being quicker than LEC in ‘23 (due to the additional stop) and slower in ‘24, gained over half a second vs VER.

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https://linktr.ee/fdataanalysis

Mexico's lower air density is forcing Ferrari to add cooling louvres to its car - even compared to another high-altitude track like Austria. 🔥

Engine cooling is improved at the expense of more drag and less rear downforce. 📉

Ferrari struggled with temperatures in '23 when they opted for an asymmetrical cooling arrangement. 🚨

F1 teams with lower cooling requirements and turbocompressors better suited to the less dense air will lose less performance in Mexico!

Austin GP damaged Lando Norris's championship hopes while reviving Ferrari’s chances. 🔥

WDC probability (Before vs After Austin)
🥇🔵VER: 58.89% ➡️ 80.13% (+21.24%📈)
🥈🟠NOR: 38.37% ➡️ 17.60% (-20.77%📉)

WCC
🥇🟠McL: 86.86% ➡️ 88.50% (+1.64%📈)
🥈🔴Ferrari: 6.47% ➡️ 14.29% (+7.82%📉)
🥉🔵RBR: 9.20% ➡️ 5.88% (-3.32%📉)

The probability swing after Mexico will be wild (as fewer and fewer points are available).
Data by : @oddschecker

You might have noticed that the sum of the ‘post Austin’ WCC percentages is over 100%. That’s because I forgot to remove the bookmaker’s edge, my bad!

The pecking order is not affected by that, obviously.

Sainz beat Verstappen by 0.225s by gaining significantly from Turn 3 to 6 - and not losing his advantage afterwards 🔥

SAI: +1km/h top speed on the main straight; +4km/h on the next one 🚀

VER used III gear in T4, while SAI downshifted to II

VER took T9 full-throttle!

Who's excited for the race? 🔥😉

📊 RACE PACE #MexicoGP 

SAI just 0.05s/lap quicker than NOR! (Who suffered the initial gap)

VER was no quicker than HAM: what a difference vs season-start!

MAG as quick as (traffic-hit) PIA

Change vs '23 (s/lap)
McL: -2.33📈
Ferrari: -2.20📈
Merc: -1.45👌
RBR: -1.03🚨

It's your turn: who will win the two championships?🤔

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👇Use this link👇
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In the 2nd stint, Magnussen was 0.1s/lap QUICKER than Verstappen, on average 🤯
VER's tyres were just 4 laps older

In the 1st stint (Mediums, slow laps removed), VER's pace was better.
In the last 15 laps of the race, MAG was much quicker than him

Yep… that was close! 😳
Impressive commitment by the cameraman 😲

📸: @FlorentGooden

Piastri reached 361km/h in the #MexicoGP  ! He had frequent slipstreams and DRS opportunities during his recovery drive

Mercedes’ top speed was very high, too: 359km/h for HAM and RUS

Ferrari had the lowest one: SAI used the DRS on the main straight just once, overtaking VER!

Back in Austin, Russell was quickest in the last stint!👀

This time, YOU will do the analysis, following my tutorial!🤩

1)Download JMP: https://www.jmp.com/en_us/download-jmp-free-trial.html?utm_source=x&utm_medium=referral&utm_campaign=fdataanalysis_en_post&utm_audience=f1race-interest&utm_content=trial

2)Download the data: https://bit.ly/austinData

3)Follow my tutorial, and enjoy! 👇
https://www.youtube.com/watch?v=OT3m9ureVcE
#YesJMPCan

💡MAIN CHANGES (vs 2023) #BrazilianGP

More performance:
~Softer compounds (C2-C4➡️C3-C5)

Less performance:
~0.25deg less camber (Front: 3.25➡️3deg; Rear: 2➡️1.75deg)
~1psi (0.07bar) higher minimum pressure (Front: 23➡️24psi, Rear: 21➡️22psi)

The medium- and high-speed corners should suit @McLarenF1

What’s YOUR prediction? 🤔

Weekly reminder that you can find ALL my socials and extra content through THIS link
👇
https://linktr.ee/fdataanalysis

Good news: my in-depth 'Sprint and Quali Preview' article is free for everyone for this GP! 😏

~ 10 analyses and many pages of content are waiting for you: enjoy! 🤩

👇

https://buymeacoffee.com/f1dataanalysis/brazil-gp-sprint-quali-race-preview-3175433

São Paulo Rear Wings:

💡McLaren has a new wing:
- the lower plane is the most shallow of any team➡️low drag;
- the upper plane is one of the most loaded➡️high downforce.
Likely target: maximum DRS effectiveness! 🎯

Higher load: Aston/Alpine
Medium load: McL/RBR/Merc/Ferrari
Lower load: Williams/RacingB

📸: @AlbertFabrega