Formula Data Analysis
3.4K subscribers
1.42K photos
10 videos
3 files
916 links
All the analyses of the world’s most famous page on Formula 1 telemetry: join NOW to understand F1 better!πŸŽπŸ“ˆ
Download Telegram
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€”
❀7πŸ‘4πŸ”₯4
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
❀9πŸ‘3πŸ”₯3
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”₯
❀6πŸ‘4πŸ”₯1🀯1πŸ‘€1
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
❀3⚑2😒2πŸ‘1
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
❀5πŸ‘2πŸ”₯1
Weekly reminder that you can JOIN the CHAT channel to discuss my analyses OUTSIDE of the 'comments'!
πŸ‘‡Use this linkπŸ‘‡
https://t.me/FDataAnCHAT
πŸ”₯1
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
πŸ”₯3πŸ‘2❀1
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€”
😱2
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€
πŸ‘3😭1
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€”
πŸ‘2πŸ”₯1
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!
πŸ‘2πŸ”₯2
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
❀5πŸ‘1πŸ‘Œ1
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.
πŸ‘8❀2πŸ”₯1
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€”
πŸ‘5πŸ€”1
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
πŸ‘7πŸ”₯1
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!
πŸ‘11πŸ‘1
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)
πŸ‘10
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
❀7πŸ‘4
Weekly reminder that you can find ALL my socials and extra content through THIS link
πŸ‘‡
https://linktr.ee/fdataanalysis
πŸ”₯1
SECTOR TIMES - Japanese GP

πŸ”₯Sainz's sectors were on fire in his last stint!

HAM was quick on 🟑Mediums (on a fresher set). However, Mercedes lacked consistency: notice the big gap in S1 and S2 between the first and second βšͺ️Hard sets!⚠️

Made via @JMP_software
πŸ‘3πŸ”₯2πŸ€”1
Formula Data Analysis
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…
Increasing a car’s fuel efficiency from 5km/l to 10km/l will save you DOUBLE the money compared to increasing it from 10km/l to 20km/l πŸ’°

Similarly, going 10km/h quicker in a slower highway segment will save you more time (and produce LESS additional fuel consumption) than doing the same through a faster segment ⏱

As @brrrake correctly pointed out, the same principle applies to F1 cars. Increasing one’s speed through the fast corners will save you less time, and induce more additional tyre wear, compared to doing the same through the slower corners. Red Bull Racing (and their drivers) seem to have grasped this concept: by lifting through the 130R corner (the fastest one in Suzuka), they managed to mitigate tyre wear for a modest loss of pace. πŸ›ž
πŸ‘8πŸ”₯4