Formula Data Analysis
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All the analyses of the world’s most famous page on Formula 1 telemetry: join NOW to understand F1 better!πŸŽπŸ“ˆ
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https://linktr.ee/fdataanalysis
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πŸ—’NOTES ON SUZUKA TRACK

-One of the most severe tracks on the tyres due to the frequent, long, consecutive fast corners!➑️Wear will be high even on the C1-C3 compoundsπŸ›žπŸ”₯
-High downforce is crucial, BUT having a single DRS zone will punish excessive drag!πŸ’‘
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Main contenders for the #JapaneseGP:

πŸ”΅RBR: will bring updates (floor?); currently the team to beat

🟠McL: high downforce➑️crucial for the fast corners; Double podium last year

πŸ”΄Ferrari: has momentum, aero efficient, will update the rear suspension fairing

Your prediction?πŸ€”
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Rear Wings!

Japanese GP: Medium-high load wings

βœ…Downforce CRUCIAL for the many fast corners➑️More grip/preserves tyres
❌1 DRS zone (vs Australia’s 4): Cannot go max load

πŸ”΄Ferrari/πŸ”΅RBs: least loaded (top speed over grip)⏬

🟒Aston/🟒Sauber: most loaded⏫

Others: in between

πŸ“Έ @AlbertFabrega
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Rear wings - Japanese GP
(πŸ”΅RBR: reference)

🟒Merc: deep lower plane spoon (and less loaded DRS plane)

πŸ”΄Ferrari: same wing as in the first 3 races! Beam wing used to set load

🟠McL: compared to Merc, more loaded DRS plane and less loaded lower plane➑️Stronger DRS?

Drawings made by my collaborator @CatalinEpu πŸ”₯
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πŸ“ŠTOP SPEEDS SO FAR (FP1)

βšͺ️Haas was unmatched (327km/h!): low-drag car + less loaded wing➑️might go for slightly more load in the next sessions

🟑RBR had a loaded DRS plane, but an unloaded lower plane: this made their DRS very powerful

🟠McL's DRS doesn't perform well

Both Williams and Alpine DID use DRS during their respective best laps

ALB lifted early into T1, however
Alpine's top speed, instead, is concerning
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πŸ“ŠBEST SECTORS
(Everyone on Softs, except for BOT/ZHO/SAR on Mediums)

🟑RBR was quickest in every sector!
Next quickest car:
S1: πŸ”΄Ferrari (+0.03s)
S2: πŸ”΄Ferrari (+0.02s)
S3: 🟒Merc (+0.08s)

🟠McL was quick in S1, but their low top speed held them back in the fast S3
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Verstappen's best FP1 lap was just 0.015s away from the ideal lap (VER S1 and S3, PER S2)⏱

NOR and STR didn't combine their best sectors into their best laps:
🟠NOR would have finished P8 (instead of P10)
🟒STR P11 (instead of P15)

Weak points:
⚫️Merc S1
🟠McL S2
πŸ”΄Ferrari S3
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πŸ—’Notes on Japanese GP Quali!

πŸ”΅VER gained 0.68s over his last pole: LEC/ALO/HAM wondered how they could be so far after good laps!
🟒Aston: in Q1, ALO was P2, STR P16. Better lineup needed
πŸ”΄Ferrari has lost their quali pace since FP3
🟠Solid P3 for McL, but was P2-3 last year

Who surprised you the most? And WHY?πŸ€”
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AERO PROPERTIES
➑️Higher mean Speed (more performance)
⬆️Higher top speed (lower drag)

🟠McL got P3 with the lowest top speed on the grid! Crazy downforce, but they need less drag for a front row. Same for🟒Mercedes

πŸ”΄Ferrari lost their top-speed edgeπŸ€”

βšͺ️Haas=RocketπŸš€
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BEST SECTORS - Japanese GP Quali
🟑RBR was quickest in all sectors, but as in FP1 PER beat VER in S2

🟠McL's excellent downforce helped them massively in S1: virtually as quick as RBR!

πŸ”΄Ferrari was TERRIBLE in S3: slower than HUL, ALB, both RBs...

What's your opinion?πŸ€”
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THROTTLE USE - Quali

🟑RedBull got pole by being able to stay full-throttle for 2/3 of the lap: they put the power down better than anyone else

Similar for🟒Merc/🟠McL, but their high drag caused a loss of pace on every straight

πŸ”΄Ferrari: no grip, and 'meh' top speed!
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INISECTORS - Quali

🟑VER and 🟠NOR were impressively quick in the fast S1 snake, leaving nothing on the table forπŸ”΄SAI! Their downforce was unmatched

In addition to that, RBR had lower drag➑️Fastest at the end of most straights

πŸ”΄Ferrari was quickest only out of T12/18
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RACE PACE - #JapaneseGP

βœ…Improved the most over 2023 (s/lap):
πŸ₯‡πŸŸ’Aston -1.87 (was terrible last year)
πŸ₯ˆπŸ”΄Ferrari -1.72
πŸ₯‰πŸŸ McL -1.52

❌Got slower:
🟣Alpine +0.08

-LEC was quicker than both Mercedes despite stopping one less time
-ALO matched PIA.
-VER: -0.28s/lap adv.
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Formula Data Analysis
RACE PACE - #JapaneseGP βœ…Improved the most over 2023 (s/lap): πŸ₯‡πŸŸ’Aston -1.87 (was terrible last year) πŸ₯ˆπŸ”΄Ferrari -1.72 πŸ₯‰πŸŸ McL -1.52 ❌Got slower: 🟣Alpine +0.08 -LEC was quicker than both Mercedes despite stopping one less time -ALO matched PIA. -VER: -0.28s/lap…
Race pace last year, for comparison
Only 15 drivers finished the race!
As no Williams driver covered over 90% of the race distance, it is impossible to evaluate their pace improvement, as the conditions would be too different for that

Which team surprised you the most today? πŸ€”
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πŸ›žTYRE WEAR (Per Team and Compound)

βœ…Best wear:
πŸ”΄Ferrari and🟒Aston (on both Hards and Mediums)

❌Worst (by far!):
🟒Mercedes on Hards
🟠McL on Mediums

πŸ”΅RBR's wear was moderate, and it didn't impact their excellent pace

⚠️The high wear ruined Mercedes' race
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Formula Data Analysis
Race pace last year, for comparison Only 15 drivers finished the race! As no Williams driver covered over 90% of the race distance, it is impossible to evaluate their pace improvement, as the conditions would be too different for that Which team surprised…
I realised that I made a mistake concerning McL: their race pace last year was 97.54s, and NOT 98.11s

So the team improved 'just' 0.95s/lap

All other values are correct, and the two graphs too

Thanks to those who pointed it out!
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Gap to Race Winner

Only LEC and SAI led a lap in addition to VER (after the latter pitted)

In the last stint, LEC and NOR had the most laps on their tyres (27), HAM the least (15): that made him much quicker than both

Still, SAI was even quicker! (on 17-laps old Hards)
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πŸ’‘RedBull lifted through the 130R corner in the first 2 stints to preserve the tyres

The graph shows the speed trap (placed right after the 130R corner, which can be taken full-throttle but without DRS) values

You can notice 🟑RedBull’a bimodal distribution (two wide points: the upper one is their β€˜true’ speed, the lower one is relative to lifting in the corner)

Haas reached 309km/h thrice there!πŸš€

Via @JMP_software
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