Formula Data Analysis
I’ve spent the whole season analysing the telemetries of each F1 session📊 I have a clear idea of the strengths and weaknesses of each car: here is my summary! What's your opinion? 👀 Read the thread for a more detailed discussion, and check my profile for…
That's it: I hope you enjoyed the breakdown!
Do you agree with my conclusions? Is there anything you would change or mention?
Don't forget to follow @FDataAnalysis (if you don't do yet) to understand F1 better! 💡
Do you agree with my conclusions? Is there anything you would change or mention?
Don't forget to follow @FDataAnalysis (if you don't do yet) to understand F1 better! 💡
👏11
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🟠McLaren's chances of winning the #F1 Constructor's Championship (last one was in 1998! with Hakkinen and Coulthard!) surged from 74% to 81.5% after Brazil: lead to Ferrari 29➡️36pts, with one less race to go.
🔴Ferrari still has a 17% chance (1 in 6)
🔵RBR only has a 1.5% chance (1 in 67!)
Chances before the first race:
🔵RBR 72.4%
🔴Ferrari 11.1%
⚫️Mercedes 8.0%
🟠McL 4.9% (!)
Data from @oddschecker
Made via @JMP_software
🔴Ferrari still has a 17% chance (1 in 6)
🔵RBR only has a 1.5% chance (1 in 67!)
Chances before the first race:
🔵RBR 72.4%
🔴Ferrari 11.1%
⚫️Mercedes 8.0%
🟠McL 4.9% (!)
Data from @oddschecker
Made via @JMP_software
❤11👍2
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WDC Winning Probability before each race weekend
Verstappen's 4th F1 noscript is closer and closer: by winning in Brazil against all odds, he reduced Norris' hopes from 23.4% to a tiny 3.8% (Data from @oddschecker)
Norris' best chance was before Austin: 38.4%
Made via @JMP_software
Verstappen's 4th F1 noscript is closer and closer: by winning in Brazil against all odds, he reduced Norris' hopes from 23.4% to a tiny 3.8% (Data from @oddschecker)
Norris' best chance was before Austin: 38.4%
Made via @JMP_software
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DRY TO WET TOP SPEED DIFFERENCE (DRS vs NO DRS)
-31km/h Red Bull
-29 Haas
-28 Sauber
-26 Aston
-23 McL
-21 Alpine
-21 RacingBulls
-19 Merc
-19 Williams
-17 Ferrari
Largest loss for RedBull (bolted on a lot of downforce on Sunday, also didn’t access Q3).
Smallest for Ferrari (similar wings between the two days).
-31km/h Red Bull
-29 Haas
-28 Sauber
-26 Aston
-23 McL
-21 Alpine
-21 RacingBulls
-19 Merc
-19 Williams
-17 Ferrari
Largest loss for RedBull (bolted on a lot of downforce on Sunday, also didn’t access Q3).
Smallest for Ferrari (similar wings between the two days).
❤5👍2
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Las Vegas Grand Prix Preview
The city circuit with the highest top speed (~350km/h in qualifying, >360km/h with a slipstream)
Just 10°C track temperature forecasted: Tyre warm-up will be critical on quali!
Almost Monza-level wings.
The traction zones will wear the rear tyres.
Key to performance:
- Low drag
- Braking stability
- Good wear
Ferrari should perform well there… as long as they can heat up the tyres!
What’s your prediction? 🤔
📸: @pirellisport
The city circuit with the highest top speed (~350km/h in qualifying, >360km/h with a slipstream)
Just 10°C track temperature forecasted: Tyre warm-up will be critical on quali!
Almost Monza-level wings.
The traction zones will wear the rear tyres.
Key to performance:
- Low drag
- Braking stability
- Good wear
Ferrari should perform well there… as long as they can heat up the tyres!
What’s your prediction? 🤔
📸: @pirellisport
❤8👍1🥰1
Interesting wing choices for Las Vegas GP!💡
Ferrari's:
✅Drag
❌Even trickier warm-up (which Ferrari struggled with in China) in the cold weather
RBR/McL:
✅Excellent downforce (helping braking, cornering, traction, and possibly wear)
❌Straight-line performance will suffer
Medium load: McL, RBR
Med-low: Aston
Low: Ferrari, Haas, Sauber
Lowest: Alpine, Williams
📸 @AlbertFabrega
Ferrari's:
✅Drag
❌Even trickier warm-up (which Ferrari struggled with in China) in the cold weather
RBR/McL:
✅Excellent downforce (helping braking, cornering, traction, and possibly wear)
❌Straight-line performance will suffer
Medium load: McL, RBR
Med-low: Aston
Low: Ferrari, Haas, Sauber
Lowest: Alpine, Williams
📸 @AlbertFabrega
❤7👍2
Verstappen: 'We have no grip' yet his grip was not terrible (0.43s slower than NOR in S2 but on Mediums); instead, his engine was turned way down!
Las Vegas GP TAKEAWAYS:
- McL's aero efficiency looks great
- Ferrari and Mercedes have better braking
Read on! 👇
1) BEST SECTOR TIMES:
- Mercedes quickest in the diverse S1. Ferrari struggled.
- NOR was quickest by a margin in S2 (high downforce needed).
- SAI fastest in S3 thanks to a tow. Yet LEC was not far. RBR lost massively there (low power).
2) TOP SPEED:
Ferrari's top speed without the tow was 345km/h. McL was not only the fastest in the twisty S2, but their top speed was great, too!
3) GRIP (g-g):
Ferrari and Mercedes have superior braking; McL reached lower accelerations but maintained them for longer.
McL and Mercedes look good, and Ferrari should join them if they get the setup right.
RBR seems more distant: what's YOUR prediction? 🤔
Las Vegas GP TAKEAWAYS:
- McL's aero efficiency looks great
- Ferrari and Mercedes have better braking
Read on! 👇
1) BEST SECTOR TIMES:
- Mercedes quickest in the diverse S1. Ferrari struggled.
- NOR was quickest by a margin in S2 (high downforce needed).
- SAI fastest in S3 thanks to a tow. Yet LEC was not far. RBR lost massively there (low power).
2) TOP SPEED:
Ferrari's top speed without the tow was 345km/h. McL was not only the fastest in the twisty S2, but their top speed was great, too!
3) GRIP (g-g):
Ferrari and Mercedes have superior braking; McL reached lower accelerations but maintained them for longer.
McL and Mercedes look good, and Ferrari should join them if they get the setup right.
RBR seems more distant: what's YOUR prediction? 🤔
👍5
Formula Data Analysis
Verstappen: 'We have no grip' yet his grip was not terrible (0.43s slower than NOR in S2 but on Mediums); instead, his engine was turned way down! Las Vegas GP TAKEAWAYS: - McL's aero efficiency looks great - Ferrari and Mercedes have better braking Read…
RedBull's bad straight-line performance is mostly due to the engine, as they start losing speed very early on the straight (where drag matters little)
Still, their 'saw-off' wing is a budget-friendly, suboptimal option
For more:
https://buymeacoffee.com/f1dataanalysis/las-vegas-gp-analyses-repository-3230545
Still, their 'saw-off' wing is a budget-friendly, suboptimal option
For more:
https://buymeacoffee.com/f1dataanalysis/las-vegas-gp-analyses-repository-3230545
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Las Vegas GP - Analyses Repository — Formula Data Analysis
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VER lost over *8 TENTHS* to NOR on the straights... but only part of that is due to their sub-optimal wing!😳
❌Turns 4 and 12: VER's exit was good, yet he starts losing immediately➡️Detuned engine.
❌The inefficient wing then hurts him more and more as the speed (and drag) grows.
Red Bull will turn up the engine come quali, but the cost-saving trimmed wing is hurting them more than expected (and that cannot be solved)!
Check out my profile for many analyses on the Las Vegas GP! 🏎
*Note for the nerds:
We can say that RBR had less power and also more drag because the 'gap' increases linearly. If it simply had more drag, the gap would only increase at high speed. If it simply had less power, the gap would increase less at high speed. RBR had both.
❌Turns 4 and 12: VER's exit was good, yet he starts losing immediately➡️Detuned engine.
❌The inefficient wing then hurts him more and more as the speed (and drag) grows.
Red Bull will turn up the engine come quali, but the cost-saving trimmed wing is hurting them more than expected (and that cannot be solved)!
Check out my profile for many analyses on the Las Vegas GP! 🏎
*Note for the nerds:
We can say that RBR had less power and also more drag because the 'gap' increases linearly. If it simply had more drag, the gap would only increase at high speed. If it simply had less power, the gap would increase less at high speed. RBR had both.
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Las Vegas GP: FP2 LONG RUNS
10 drivers within 1s of the fastest! (🟠PIA) ➡️ Different fuel loads/engine modes obfuscate the pecking order
Despite being slow in FP2's quali simulation, 🔵RedBull was quick in the long runs (normally it's the opposite)
🟣Alpine's pace looks solid!
10 drivers within 1s of the fastest! (🟠PIA) ➡️ Different fuel loads/engine modes obfuscate the pecking order
Despite being slow in FP2's quali simulation, 🔵RedBull was quick in the long runs (normally it's the opposite)
🟣Alpine's pace looks solid!
👍7
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Since this race weekend, I've been crossposting my analyses there, as well 💥
You will find me there at http://fdataanalysis.bsky.social : drop your username in the comments so we can connect more easily!
Bluesky Social
Formula Data Analysis (@fdataanalysis.bsky.social)
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⚙️ Performance Engineer, PhD in Motorcycle Dynamics
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📈Learn To Read F1 Telemetry Data
⚙️ Performance Engineer, PhD in Motorcycle Dynamics
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Places to find me: linktr.ee/fdataanalysis
🔥2
In the race that crowned Verstappen 4x WDC, his former rival impressed the most: Lewis Hamilton was just 0.02s/lap slower than RUS (who managed a bit) despite being stuck in traffic!
Car Pace (faster driver only)
🥇Merc
🥈Ferrari +0.15s/lap
🥉RBR +0.24s/lap
4️⃣ McL +0.43s/lap
Tyre deg was much higher than expected: on Mediums Ferrari's deg in particular was incredibly high (and Mercedes and partly RBR were miles ahead of them).
On Hards Ferrari got the better hand on RBR and matched Mercedes.
GAS was quick, while OCO struggled.
TSU almost matched PER!
Car Pace (faster driver only)
🥇Merc
🥈Ferrari +0.15s/lap
🥉RBR +0.24s/lap
4️⃣ McL +0.43s/lap
Tyre deg was much higher than expected: on Mediums Ferrari's deg in particular was incredibly high (and Mercedes and partly RBR were miles ahead of them).
On Hards Ferrari got the better hand on RBR and matched Mercedes.
GAS was quick, while OCO struggled.
TSU almost matched PER!
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