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Formula Data Analysis
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AZERBAIJAN GP - RACE | RACE PACE 📊
(Impacted by traffic!)

VER quickest (could manage his pace).
RUS was a close 2nd (+0.15s/lap) despite traffic following a bad start.

SAI and ANT bridged the gap between the top 2 and the 'others' (NOR, TSU, Ferrari and Racing Bulls).

Alpine was dead last.

Per team:
1) RBR quickest
2) Merc +0.15s/lap
3) Williams +0.38
4) McL +0.55
5) Ferrari +0.59
6) RBs +0.60
7) Haas +1.12
8) Sauber +1.20
9) Aston +1.24
10) Alpine +1.92 (‼️)
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Formula Data Analysis
AZERBAIJAN GP - RACE | RACE PACE 📊 (Impacted by traffic!) VER quickest (could manage his pace). RUS was a close 2nd (+0.15s/lap) despite traffic following a bad start. SAI and ANT bridged the gap between the top 2 and the 'others' (NOR, TSU, Ferrari and…
How much did LEC’s ERS issue (2kW, or 2.7hp) affect top speed? Just 0.3 km/h…

So Vasseur’s statement seems off.

Vasseur "We lacked, I think, 2kW, not much, but enough to make Charles unable to overtake".

Let’s check the numbers:
🔋 PU power: ~1000hp, or ~735kW;
🪫 With issue: ~733kW.

- Drag coefficient unchanged;
- Drag POWER grows with the CUBE of speed:;
🔋 Top speed: ~350km/h;
🪫 With issue: 350km/h*(735kW/733kW)^1/3=349.7km/h... 0.3km/h reduction.

Possible explanations:
1) He meant 20kW → ~3 km/h loss;
2) Downplayed the issue;
3) It was 2kW, but irrelevant for overtaking;
4) It was 2kW but mattered via compounding: less acceleration→farther back→weaker slipstream→even less accel. ... (unlikely).

The only certainty? The physics. 🤣
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AZERBAIJAN GP - RACE | TOP SPEEDS

Bearman hit 361 km/h, while Leclerc’s deployment issue stands out!

BEA reached it on L11 with:
DRS;
Double tow (STR, HUL).

For all DRS users (e.g. ANT), top speed shows a bimodal distribution:
- Low in free air;
- Very high with DRS + tow.

The only exception? LEC: His ERS issue meant DRS + tow resulted in just “medium” top speeds! 🚨

Made via @JMP_software
4
AZERBAIJAN GP - RACE | FERRARI'S WING CHOICES

Ferrari opted for the less loaded wing after comparing it to a more loaded one in FP2, gaining 6km/h in top speed! 🚀

The difference in acceleration (graph below) was significant at any speed above 240km/h.

Braking/cornering/traction were slightly worse, as expected.

In the race, Ferrari struggled with overtaking (esp. LEC with an ERS issue), not with tyre wear or in the first 2 sectors: they made the right call, imho. 👌

Made via @JMP_software
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🗒 SINGAPORE PREVIEW

The C6 (softest) compound WON’T be used: cannot sustain extreme temperatures + max downforce! 🔥

C3-C5 used, instead: deg on the C3 will be minimal.

- Max Downforce (despite sector 3 double chicane removal).
- ⚠️Traction > Braking > Cornering.

Very similar to Baku’s sectors 1 and 2, where VER and SAI were quickest overall! 👀

Comment with YOUR prediction!

📸 @pirellisport
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SINGAPORE GP | WING THURSDAY!

SINGAPORE = MAX DOWNFORCE! ⚠️

Still, some teams have a more extreme max downforce wing than others:
- Aston has a deeper and wider lower plane spoon compared to Alpine; the upper plane looks more vertical, too.
- Mercedes’ lower plane is much more cambered than Ferrari’s.

📸 @AlbertFabrega
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SINGAPORE GP - PRACTICE 2
🗒 Outlook after FP2:

- 🟦 VER confirmed same good feelings of the past 2 weekends➡️RB21's issues likely solved!
- Disrupted session, yet 🟧McL does NOT look dominant anymore. 69pts WDC lead, 7 races remaining.
- Best top speed: ⬜️Haas, 🟥Ferrari. Worst: 🟧McL, 🟨RBs.

GAP TO IDEAL LAP
The black line indicates the ideal laptime, as the combination of that driver's or team's best sectors. The green line is the actual laptime achieved.

Ideal laps (best sectors combined)
1) Aston 1:30.704 ‼️ (Best S1/S3);
2) McL 1:30.714;
3) RBs 1:30.846;
4) RBR 1:30.857 (Best S2);
5) Ferrari 1:30.944;
....
10) Mercedes (1:32.489) [Mediums].

HAM and Ferrari (0.522s) had the largest margin for improvement by combining their respective best sectors.

VER getting pole looks as likely, if not more, than a McL driver. Will LEC get a grid drop for the contact? 👀
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Have you ever wondered which track lets #F1 drivers stay full-throttle the most?
I wrote code to find out! 😏

Monza & Jeddah: over 75% of the lap full throttle ➡️ MENTAL! 🔥
Monaco: lowest, but still not far from 50%!

But look at this:
- Singapore: ~315km/h top speed, 55.1% full throttle.
- Mexico: ~350km/h top speed, only 48.3%!

Why?
Mexico’s 2285m altitude cuts drag and downforce by ~20%: higher top speed, but way less grip

Which one surprised you the most? For me, it was Australia.

Made via @JMP_software
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SINGAPORE GP | RACE PACE! 🏁

Four drivers had a pace within 0.1s of RUS's, whose brilliant first stint let him cruise in the second one!

Ferrari designed an issues-filled car: you’d expect them to fix them over the season, yet they’ve worsened. Both drivers had to run at backmarker pace at the end!

PACE PER TEAM (Fastest one-stopper)
1) Merc;
2) McL +0.04s/lap;
3) RBR +0.06;
4) Ferrari +0.42;
5) Aston +1.07;
6) Haas +1.42;
7) Williams +1.55;
8) RBs +1.82;
9) Sauber +1.99;
10) Alpine +2.14;

[Note: abnormally slow laps (e.g. HAM’s final ones) excluded from pace calc.]
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Formula Data Analysis
SINGAPORE GP | RACE PACE! 🏁 Four drivers had a pace within 0.1s of RUS's, whose brilliant first stint let him cruise in the second one! Ferrari designed an issues-filled car: you’d expect them to fix them over the season, yet they’ve worsened. Both drivers…
RACE PACE LAST YEAR

NOR was quickest, by far (0.41s/lap advantage vs VER).

Ferrari and Mercedes fought to be the 3rd best team, but were 1 second off NOR.

Compared to last year, 🟩Mercedes took a massive step forward at the expense of 🟧McL. Still, 🟦VER and 🟥Ferrari got closer to the race winner, pace-wise.
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SINGAPORE GP - RACE | F1'S COMPOUND PROBLEM

Plotting ALL (fuel-corrected) laptimes by tyre compound made the issue obvious: compounds all felt almost the same! 😬


🔴 Softs vs 🟡 Mediums → same pace when new, very similar deg.

⚪️ Hards → drivers could push from the start, and were the quickest in the first 10 laps!


[Removed: first 2 laps, in/out laps, any without green flag, abnormally slow ones.]


Made via @JMP_software
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SINGAPORE GP - RACE | TOP SPEED PER LAP

Hadjar’s performance needs praise: he almost got points (P11) despite a severe PU issue which cost him ~0.5s/lap (source: TP Alan Pemane)! 👏

His highest top speed was ‘just’ 303km/h, with slipstream and DRS, which BOR reached… without DRS!!! 😳

ALB reached 323km/h during his recovery run.
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POINTS AFTER 18 RACES

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. 😲

🔴 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?

[ Made via @JMP_software ]
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US GP - Rear Wings

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).

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

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

Less load = tougher time heating the C1 tyre!


📸 @AlbertFabrega
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Formula Data Analysis
US GP - Rear Wings 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). 🔵 RBR & ⚫️ Merc: very cambered lower plane. Note…
Due to the high temperatures forecasted this weekend, running a less loaded wing won’t necessarily make the hard C1 tyre harder to heat up… instead, it might prevent overheating the softer C3 and C4!
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US GP - PRACTICE 1 OVERVIEW

1) BEST SECTOR GAP:
ALO quickest in S1 (shorter straight, very fast snake). Next were HAM (very high PU mode, as shown by Federico Albano), and VER.

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

McL next. Papaya drivers quickest in S3.

2) GAP TO BEST:
Best laptime per driver (tyre compound used shown inside parentheses).
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US GP - Sprint Qualifying | Aero Performance

💡 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!

From this POV:
🟢 Mercedes looked like a worse RBR;

🔴Ferrari like a less extreme (and worse) McL/Sauber(‼️).

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


Teams can change setups after the Sprint: I'll show you how this picture changes in Quali!
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UNITED STATES GP - SPRINT OVERVIEW 🏁

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!

Your race prediction? 👀
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