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
POINTS AFTER 3 RACES

Ferrari is now just 4 points behind RBR

Big shakeups year after year: Ferrari went from being comfortably 1st in 2022, to 4th (‼️) in 2023, to close second in 2024

Ferrari’s consistent trait is its inconsistency, but Vasseur’s team seem to be reviving!πŸ“ˆ
πŸ”₯22❀7πŸ‘1
Laptime change over last year (Qualifying)

🟠McLaren improved the most (over 1.8s/lap), but the starting point was terrible

πŸ”΄Ferrari reduced the gap to πŸ”΅RedBull
Instead, 🟒Aston and ⚫️Mercedes got much farther from pole!

Only βšͺ️Haas and 🟣Alpine actually got slower
πŸ‘8πŸ‘1
RACE PACE - Australian GP
(Considering each team’s faster driver)

For once, πŸ”΄Ferrari was fastest!
🟠McL was close, though: ~0.1s/lap difference

πŸ”΅PER had over 0.5s/lap slower than SAI: VER would NOT have won easily

🟒Aston and Merc were matched

Thanks β€˜Formula1 Stat Analysis’ for helping me with this one!🀝
πŸ‘12πŸ”₯7🀝1
Weekly reminder that you can find ALL my socials and extra content through THIS link
πŸ‘‡
https://linktr.ee/fdataanalysis
πŸ”₯2
"I’m having a walk in the original Temple of Speed! 🏎

I’ve measured the banking of the old Parabolica: ~40degrees at the highest point, 7deg more than the most banked corner in NASCAR!

I struggled to reach the highest point by feet."
❀24πŸ‘7πŸ’˜3πŸ”₯2πŸ‘1πŸ₯°1
πŸ”΄Bearman asked me for this analysis, and I couldn't refuse!😁

F2 Qualifying
Speed Trap (Vertical) vs Average Speed (Horizontal)

The dashed trend line shows that better average speed↔️higher top speed (Better aero efficiency and corner exit)

Two exceptions:⚫️Rodin and 🟠Campos teams showed large wing load differences!

Made via JMP Software
❀22πŸ‘7πŸ”₯2πŸ‘2
Formula Data Analysis
πŸ”΄Bearman asked me for this analysis, and I couldn't refuse!😁 F2 Qualifying Speed Trap (Vertical) vs Average Speed (Horizontal) The dashed trend line shows that better average speed↔️higher top speed (Better aero efficiency and corner exit) Two exceptions:⚫️Rodin…
How does F1 compare to F2?
Speed Trap: ~ +40km/h (+14%)
Average Speed: ~ +35km/h (+16%)

Huge difference!
Their speed advantage over the whole lap seems to be analogous to their top-speed advantage

We can conclude that F1 cars gain a lot... everywhere
And Ollie now knows it!
πŸ‘9🀯5πŸ”₯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‘2πŸ”₯1
RACE PACE - Australian GP

πŸ”΄Ferrari was quickest, and just 0.05s/lap separated SAI and LEC!

🟠Norris was just 0.11s/lap behind though: McL can take the jump if the updates work

🟑Perez was half a second behind (damaged floor on his 2nd stint, though)

🟒ALO matched RUS

🟣Alpine's pace was terrible once again: OCO was slower than BOT despite pitting one time more. GAS had the worst pace

The 'Race Pace' analysis script is the first one I've restored, as I know how much you love this analysis!πŸ˜πŸ’»
❀12πŸ”₯8πŸ‘4🀝1
TOP SPEEDS - AUSTRALIAN GP

πŸ”΄Sainz only used the DRS twice (to overtake VER!)

🟠McL's drag was quite high: PIA only reached 330km/h despite using the DRS often, and NOR was at the bottom of the standings. Solid performance despite that

PER (339km/h) and Haas: very low dragπŸš€
❀4πŸ‘2
Weekly reminder that you can find ALL my socials and extra content through THIS link
πŸ‘‡
https://linktr.ee/fdataanalysis
πŸ”₯1
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’‘
πŸ”₯9πŸ‘3⚑1
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