Which tyre compound was best, Medium or Hard?🤔

🟡Medium tyres were more grippy than ⚪️Hards in the first 20 laps

Hards only made sense for very long stints, where their slightly lower wear rate compensated for their inferior all-out performance.

Mexico features the calendar's most severe braking point: from over 350km/h to less than 100km/h!🔥

Brakes dissipate around 3.5 MILLION joules in a single braking, exceeding 4200 horsepower!🤯

RedBull cannot let Max's brakes fail here🚨

Speed out of turn 12

Decreasing fuel➡️higher speeds: from 175-180km/h (high fuel) to over 180km/h! (low fuel)

RedBulls were pretty slow in that segment: they favoured braking and cornering performance in turn 12, sacrificing the exit

Made via @JMP_software

🗒Key notes on #MexicoGP!

Highest altitude (2285m!)➡️20% lower air density➡️Much lower drag and downforce➡️Loaded rear wings despite the long straight!

Ferrari's pace has improved in the second part of the season (for a reason I will explain one of these days!), so I don't expect them to fare terribly here.

Still, their drag advantage will matter less here, and they will take penalties to install new Power Units.

📈High-downforce, high-drag (⚫️Merc)
📉Low-downf, low-drag (🔴Ferrari)

Soft tyres (C3-C5)
Your bet?🤔


📸 @pirellisport

RACE PACE SIMULATIONS - #MexicoGP

⚫️Mercedes should be🔵RedBull's main rival
🟠McL and🔴Ferrari should be close, though!

🟣Alpine is predicted to be 'Best of the Rest'
🟢Aston might suffer unless they ace the setup!

It might be another close race!

( Source: @AlbertFabrega )

Mexico City GP - Wing Thursday!

💡Rear Wings

Mexico’s paradox: teams reach record top speeds despite the very loaded rear wings.

The reason? Altitude decreases air density by 20%, reducing drag and downforce by the same amount.📉

Similar wings➡️baseline drag-downforce matter!

[ 📸 @AlbertFabrega ]

Weirdly enough, 🟢Aston is the only team not running a Gurney Flap🤔

The Gurney flap is a small lip mounted on the trailing edge (the most rearward part) of the upper plane, which helps prevent flow separation💨

It was invented by a racing driver! (Dan Gurney)🏎🛠

Here is a comparison between no Gurney (left) vs Gurney Flap (right)

Today you learned something new!😁

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

What are your predictions for the Mexico GP? 🤔

1) Pole🥇

2) Race Winner🏆

3) Disappointment of the weekend😢

Hard to get a better shot at Ferrari’s underbody! 😳

📸 @xavigazquez

Last year, Ferrari’s performance was disappointing as they had to tune down the engine due to reliability concerns induced by the less dense air.

We’ll know soon enough whether they’ve fixed the problem!

Minisectors - FP2

🔵 RB: Quickest in the second sector, thanks to time gained in corners 6 to 11.

🟠 McL: Excellent in the first chicane.

🔴 Ferrari: dominated the main straight. Low drag➡️Excellent top speed (350km/h) and high-speed acceleration.

It's looking tight!

Best Sectors (FP2)

S1 - ⚪️Haas😳(352km/h on the long straight!)
S2 - 🔵RB
S3 - ⚫️Mercedes

Norris was 2nd quickest, but the car was not quickest in any sector ➡️Very balanced performance.

Top Speeds! - FP2

13km/h difference between Haas and Aston 😳
⬇️
⚪️Haas quickest in Sector 1, but lost A LOT in S2;
🟢Aston lost time in all sectors: no setup change that can fix everything

🔴Ferrari: low drag
🟢Merc: reasonable drag

What impressed you?🤔

Long Runs - FP2 #F1

🟨Mediums:
🟠McLares looks very competitive!
🔵But RB might have pushed less, as their laptimes improved throughout the stint

⬜️Hards:
🔵Williams' pace is 'interesting'!
🟠McL had excellent wear

Want more data? I got you covered😏👇

https://www.buymeacoffee.com/f1dataanalysis/mexico-gp-analyses-repository