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Formula Data Analysis @fdataanalysis.bsky.social · 21h

HAM finished ahead of PIA despite having to LICO

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Formula Data Analysis @fdataanalysis.bsky.social · 21h

❤️❤️

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Formula Data Analysis @fdataanalysis.bsky.social · 1d

Race pace last year, when Ferrari was quickest, clearly in front of McL and VER

Mercedes struggled last year; this year's improvement was far from enough to fight for a podium

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Formula Data Analysis @fdataanalysis.bsky.social · 1d

A wild Carlos appears ahahah

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Formula Data Analysis @fdataanalysis.bsky.social · 1d

🟢RUS won in Singapore’s heat, yet Merc was only 4th fastest in (hot) Austin

After the summer break, the quickest RBR (VER) has had a better race pace than the quickest McL

VER must recover 8pts/weekend on average: hard but doable, considering his (and McL's, especially PIA's) current form!

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Formula Data Analysis @fdataanalysis.bsky.social · 1d

🏁 RACE PACE #F1

🟠NOR was <0.1s/lap slower than VER on average; 🔵VER was managing, yet NOR was stuck behind 🔴LEC for long!

HAM was 0.18s/lap slower than LEC; PIA’s gap to NOR was over twice that!

Finally, a race where Ferrari could fight McL

Little pace from 🟡Racing Bulls; none from 🟣Alpine

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Formula Data Analysis @fdataanalysis.bsky.social · 2d

#F1 SPRINT KEY STATS 🏁

Start:
-VER quickest to 100 km/h, but OCO reached 200 km/h in the least time
-Poor starts for both Astons; worst by SAI

Top speeds:
-ANT hit 340 km/h (slipstream + DRS)
-VER: 305 km/h (no DRS nor slipstream). Yet ALB managed 312 km/h in the same conditions!

Race prediction?

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Formula Data Analysis @fdataanalysis.bsky.social · 3d

From this POV:
🟢Mercedes looked like a worse RBR
🔴Ferrari like a less extreme (and worse) McL/Sauber(‼️)

Teams can change setups after the Sprint: I'll show you how this picture changes in Quali! #F1

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Formula Data Analysis @fdataanalysis.bsky.social · 3d

💡 Interesting:
2nd (🟠McL) and 3rd (🟢Sauber) fastest in SQ had the worst top speed (324 km/h) ➡️ performance from high downforce
🔵Pole-sitter had the 2nd highest (327 km/h) ➡️ great drag/downforce balance
Austin rewards diverse aero load levels!

⚪ Haas = inefficient (high drag, no standout downforce)

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Formula Data Analysis @fdataanalysis.bsky.social · 3d

Best laptime per driver (tyre compound used shown inside parentheses)

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Formula Data Analysis @fdataanalysis.bsky.social · 3d

BEST SECTORS - FP1 #F1

ALO quickest in S1 (shorter straight, very fast snake). Next were HAM (very high PU mode) and VER

HUL quickest in S2 (which includes the longest straight), despite an unimpressive top speed. McL next

Papaya drivers quickest in S3

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Reposted by Formula Data Analysis

Formula Data Analysis @fdataanalysis.bsky.social · 4d

Medium to Medium-High rear wings in Austin - with some quirky choices!

🟠 McL: deep but narrow lower-plane spoon, focusing on the most efficient central section (compare with 🔴 Ferrari’s)

Least loaded wings? RB (skinniest upper plane) & Williams (lower plane).

📸 @albertfabrega.bsky.social #F1

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Formula Data Analysis @fdataanalysis.bsky.social · 4d

🔵 RBR & ⚫️ Merc: very cambered lower plane. Note the extreme leading-edge angle of attack! The central section extends forward and upward to increase load

Less load = tougher time heating the C1 tyre!

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Formula Data Analysis @fdataanalysis.bsky.social · 4d

Medium to Medium-High rear wings in Austin - with some quirky choices!

🟠 McL: deep but narrow lower-plane spoon, focusing on the most efficient central section (compare with 🔴 Ferrari’s)

Least loaded wings? RB (skinniest upper plane) & Williams (lower plane).

📸 @albertfabrega.bsky.social #F1

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Formula Data Analysis @fdataanalysis.bsky.social · 5d

Yes (since the chicane removal in Barcellona)

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Formula Data Analysis @fdataanalysis.bsky.social · 6d

Medium–high downforce setup, with margin to trade some for less drag

🔴Ferrari 1-2 last year; LEC won with a 19.4s gap to 🔵VER! (Sounds like an alternate universe...) 🟠McL settled for P4/5

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Formula Data Analysis @fdataanalysis.bsky.social · 6d

AUSTIN #F1 PREVIEW 🏁

C1 / C3 / C4 compounds: a big gap between the very hard C1 and the moderately soft C3!

💡Quick in Austin = quick almost anywhere: its mix of hairpins, medium/high-speed corners, and traction + braking zones exposes every weakness!

📸 Pirelli

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Formula Data Analysis @fdataanalysis.bsky.social · 7d

It tends to be the case most of the time, yes: for example in 2017 (first year of wide body cars) Ferrari and especially RBR were much shorter than Mercedes, yet Ferrari was very competitive. Through the years, however, the wheelbase has converged to Mercedes’ level

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Formula Data Analysis @fdataanalysis.bsky.social · 8d

Remember when just 3 years ago a car’s sidepods could look… like this?!? 😳

Convergence has deprived us of this diversity in design… but expect each car to look VERY unique next year! #F1

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Reposted by Formula Data Analysis

Formula Data Analysis @fdataanalysis.bsky.social · 10d

In the ground-effect era, 🟠 McLaren went from 130 pts after 18 rounds in 2022 (less than Alpine!) to 650 in 2025 - biggest jump came in 2024 📈

The 2022 “tractor” ⚫️Mercedes W13 remains the best-scoring ground-effect Merc 😲

Read on 👇 (1/2)
Via JMP #YesJMPcan

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Formula Data Analysis @fdataanalysis.bsky.social · 9d

Yes, engine performance has been a great performance differentiator, yet Ferrari was as powerful in 2018 and more in 2019 yet Mercedes still won in 2018 and comfortably in 2019

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Formula Data Analysis @fdataanalysis.bsky.social · 10d

🔴 Ferrari has been inconsistent; 2025 is their worst ground-effect season 🚨
🔵 Red Bull likewise: just 290 pts (down from 706 in 2023). Bottom reached? 👀

What’s your 2026 prediction?

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Formula Data Analysis @fdataanalysis.bsky.social · 10d

In the ground-effect era, 🟠 McLaren went from 130 pts after 18 rounds in 2022 (less than Alpine!) to 650 in 2025 - biggest jump came in 2024 📈

The 2022 “tractor” ⚫️Mercedes W13 remains the best-scoring ground-effect Merc 😲

Read on 👇 (1/2)
Via JMP #YesJMPcan

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Formula Data Analysis @fdataanalysis.bsky.social · 11d

Absolutely

Formula Data Analysis @fdataanalysis.bsky.social · 11d

Thanks a lot @danarcha.bsky.social !