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🤯The craziest #F1 stat you'll see today:
Back in Miami, Lando Norris and McLaren had a TINY 1% probability of winning their respective championships!
(Less than Ferrari now: 2.7%!) 😲
RedBull's chances of a WCC progressively declined from 92.6% to just 9.2%.📉
VER is still the WDC favourite (58.9%), but it's almost a coin toss now! Austin will be decisive 🔮
Thanks, @oddschecker team, for contacting me and providing this data! 🤝
Made via @JMP_software
Back in Miami, Lando Norris and McLaren had a TINY 1% probability of winning their respective championships!
(Less than Ferrari now: 2.7%!) 😲
RedBull's chances of a WCC progressively declined from 92.6% to just 9.2%.📉
VER is still the WDC favourite (58.9%), but it's almost a coin toss now! Austin will be decisive 🔮
Thanks, @oddschecker team, for contacting me and providing this data! 🤝
Made via @JMP_software
❤7👍3
Formula Data Analysis
🤯The craziest #F1 stat you'll see today: Back in Miami, Lando Norris and McLaren had a TINY 1% probability of winning their respective championships! (Less than Ferrari now: 2.7%!) 😲 RedBull's chances of a WCC progressively declined from 92.6% to just 9.2%.📉…
The ‘Implied Probability’ is given by the payouts for each bet made before the start of the GP.
E.g. if by betting 1$ you get 2$ in case your prediction is correct then the probability is 1$/2$=0.5=50%.
The bookmaker’s advantage has been removed: their sum is therefore 100%.
E.g. if by betting 1$ you get 2$ in case your prediction is correct then the probability is 1$/2$=0.5=50%.
The bookmaker’s advantage has been removed: their sum is therefore 100%.
👍4
FP1 DATA
Ferrari got a 1-2 finish by being the only team competitive in all sectors 👌
1) Ferrari cannot relax, though: VER was up to 15km/h quicker than SAI in the fast corners 3 to 7, exhibiting excellent downforce!
RedBull can still recover their 2km/h top speed deficit via a more powerful PU mode, while it will be hard for Ferrari to match RedBull in the fast corners.
2) BEST SECTORS
- S1: No surprise that VER was quickest there. LEC was just 0.01s behind though, as he gained on the straights and in Turn 1. McL struggled.
- S2 was McL's best sector (and VER's worst).
- S3: Ferrari's best sector.
What's your Sprint Shootout prediction? 🤩
Ferrari got a 1-2 finish by being the only team competitive in all sectors 👌
1) Ferrari cannot relax, though: VER was up to 15km/h quicker than SAI in the fast corners 3 to 7, exhibiting excellent downforce!
RedBull can still recover their 2km/h top speed deficit via a more powerful PU mode, while it will be hard for Ferrari to match RedBull in the fast corners.
2) BEST SECTORS
- S1: No surprise that VER was quickest there. LEC was just 0.01s behind though, as he gained on the straights and in Turn 1. McL struggled.
- S2 was McL's best sector (and VER's worst).
- S3: Ferrari's best sector.
What's your Sprint Shootout prediction? 🤩
🤔5❤3
Formula Data Analysis
FP1 DATA Ferrari got a 1-2 finish by being the only team competitive in all sectors 👌 1) Ferrari cannot relax, though: VER was up to 15km/h quicker than SAI in the fast corners 3 to 7, exhibiting excellent downforce! RedBull can still recover their 2km/h…
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Hi! Thank you for wanting to support my projectI've always been fascinated with data - and cars!For three years, I supervised the design, production and racing of a Formula Car 🏎️, and then I sta
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🔵VER will start the #F1 Sprint in P1, yet he wasn't the quickest in any sector! (But quick everywhere)
⚪️The upgraded Haas was mighty!
1) BEST SECTORS:
- S1: HAM fastest, by far (+0.13s vs VER)
- S2: RUS fastest, then NOR
- S3: LEC and HUL fastest
VER struggled in S2, NOR in S3
2) GRIP:
RUS reached the highest top speed (330km/h) yet he was also stronger than VER and LEC under braking! (Reached 6g of deceleration)
VER had excellent cornering grip, but braking was lacking.
🔴LEC produced the lowest maximum lateral acceleration (in fact he struggled in S1).
⚪️The upgraded Haas was mighty!
1) BEST SECTORS:
- S1: HAM fastest, by far (+0.13s vs VER)
- S2: RUS fastest, then NOR
- S3: LEC and HUL fastest
VER struggled in S2, NOR in S3
2) GRIP:
RUS reached the highest top speed (330km/h) yet he was also stronger than VER and LEC under braking! (Reached 6g of deceleration)
VER had excellent cornering grip, but braking was lacking.
🔴LEC produced the lowest maximum lateral acceleration (in fact he struggled in S1).
👍10❤3
RACE PACE - F1 SPRINT
Verstappen was quickest on average, but Sainz was almost as quick despite the numerous fights!
He can win the race. 🍀
🥇🔵VER
🥈🔴SAI +0.05s/lap (traffic)
🥉🔴LEC+0.24s/lap (traffic)
📈Impressed: Ferrari.
📉Disappointed: Mercedes (Big drop in pace), McL.
The race will probably be down to how the relative performance will differ on a full tank and different tyre compounds.
Verstappen was quickest on average, but Sainz was almost as quick despite the numerous fights!
He can win the race. 🍀
🥇🔵VER
🥈🔴SAI +0.05s/lap (traffic)
🥉🔴LEC+0.24s/lap (traffic)
📈Impressed: Ferrari.
📉Disappointed: Mercedes (Big drop in pace), McL.
The race will probably be down to how the relative performance will differ on a full tank and different tyre compounds.
❤13👍3
RACE PACE Austin GP
Ferrari's 1-2 was their most 'dominant' race of the year: 0.26s/lap advantage on McL! (LEC vs NOR) 🏆
Next best: Australia (+0.11s/lap)
Best pace since early '22! 💡
NOR: 0.1s/lap quicker than VER 👌
RUS and PER: underwhelming pace even considering traffic. 🚨
Ferrari's aero updates (introduced in Singapore) seem to have worked, as Austin is a very representative track (diverse sectors; downforce and drag are both important).
Ferrari's 1-2 was their most 'dominant' race of the year: 0.26s/lap advantage on McL! (LEC vs NOR) 🏆
Next best: Australia (+0.11s/lap)
Best pace since early '22! 💡
NOR: 0.1s/lap quicker than VER 👌
RUS and PER: underwhelming pace even considering traffic. 🚨
Ferrari's aero updates (introduced in Singapore) seem to have worked, as Austin is a very representative track (diverse sectors; downforce and drag are both important).
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Mexico City GP offers a unique challenge:
The ~20% lower air density (due to altitude) reduces downforce and drag massively.
⬇️
- High drag not as critical (will help McL)
- High downforce even more crucial!
Often highest top speeds of the season despite the high-downforce wings. 💡
Cars will be sliding significantly due to the decreased downforce and the slippery tarmac.
📸 @pirellisport
The ~20% lower air density (due to altitude) reduces downforce and drag massively.
⬇️
- High drag not as critical (will help McL)
- High downforce even more crucial!
Often highest top speeds of the season despite the high-downforce wings. 💡
Cars will be sliding significantly due to the decreased downforce and the slippery tarmac.
📸 @pirellisport
👍13
In the race, Charles Leclerc was on average over THREE SECONDS PER LAP quicker than last year... using the same strategy (Medium➡️Hard)! 🤯
Track conditions alone cannot explain this impressive improvement... and now Ferrari is given over 1 in 4 chances of getting the WCC. 🍀
The team also introduced a more flexible front wing, providing at least two benefits:
-Reduced drag at high speed;
-Speed-dependent aero balance (Low speed: more front downforce ➡️ better agility and overall grip; High speed: less front downforce ➡️ better stability, aiding driver confidence).
Race pace Improvement by other drivers:
NOR: 2.44s/lap (one less stop than in ‘23)
VER: 2.04 s/lap (one less stop than in ‘23)
SAI: 2.55s/lap (one less stop than in ‘23)
Even SAI, despite being quicker than LEC in ‘23 (due to the additional stop) and slower in ‘24, gained over half a second vs VER.
Track conditions alone cannot explain this impressive improvement... and now Ferrari is given over 1 in 4 chances of getting the WCC. 🍀
The team also introduced a more flexible front wing, providing at least two benefits:
-Reduced drag at high speed;
-Speed-dependent aero balance (Low speed: more front downforce ➡️ better agility and overall grip; High speed: less front downforce ➡️ better stability, aiding driver confidence).
Race pace Improvement by other drivers:
NOR: 2.44s/lap (one less stop than in ‘23)
VER: 2.04 s/lap (one less stop than in ‘23)
SAI: 2.55s/lap (one less stop than in ‘23)
Even SAI, despite being quicker than LEC in ‘23 (due to the additional stop) and slower in ‘24, gained over half a second vs VER.
🔥15❤2👍1
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Mexico's lower air density is forcing Ferrari to add cooling louvres to its car - even compared to another high-altitude track like Austria. 🔥
Engine cooling is improved at the expense of more drag and less rear downforce. 📉
Ferrari struggled with temperatures in '23 when they opted for an asymmetrical cooling arrangement. 🚨
F1 teams with lower cooling requirements and turbocompressors better suited to the less dense air will lose less performance in Mexico!
Engine cooling is improved at the expense of more drag and less rear downforce. 📉
Ferrari struggled with temperatures in '23 when they opted for an asymmetrical cooling arrangement. 🚨
F1 teams with lower cooling requirements and turbocompressors better suited to the less dense air will lose less performance in Mexico!
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Austin GP damaged Lando Norris's championship hopes while reviving Ferrari’s chances. 🔥
WDC probability (Before vs After Austin)
🥇🔵VER: 58.89% ➡️ 80.13% (+21.24%📈)
🥈🟠NOR: 38.37% ➡️ 17.60% (-20.77%📉)
WCC
🥇🟠McL: 86.86% ➡️ 88.50% (+1.64%📈)
🥈🔴Ferrari: 6.47% ➡️ 14.29% (+7.82%📉)
🥉🔵RBR: 9.20% ➡️ 5.88% (-3.32%📉)
The probability swing after Mexico will be wild (as fewer and fewer points are available).
Data by : @oddschecker
You might have noticed that the sum of the ‘post Austin’ WCC percentages is over 100%. That’s because I forgot to remove the bookmaker’s edge, my bad!
The pecking order is not affected by that, obviously.
WDC probability (Before vs After Austin)
🥇🔵VER: 58.89% ➡️ 80.13% (+21.24%📈)
🥈🟠NOR: 38.37% ➡️ 17.60% (-20.77%📉)
WCC
🥇🟠McL: 86.86% ➡️ 88.50% (+1.64%📈)
🥈🔴Ferrari: 6.47% ➡️ 14.29% (+7.82%📉)
🥉🔵RBR: 9.20% ➡️ 5.88% (-3.32%📉)
The probability swing after Mexico will be wild (as fewer and fewer points are available).
Data by : @oddschecker
You might have noticed that the sum of the ‘post Austin’ WCC percentages is over 100%. That’s because I forgot to remove the bookmaker’s edge, my bad!
The pecking order is not affected by that, obviously.
❤11👍6🔥3
FP2 - F1 DATA HIGHLIGHTS
🔴SAI was 0.178s quicker than 🟠PIA, but McL's engine mode was clearly lower! 😏
1) TOP SPEEDS:
Ferrari: 352km/h... and it's still FP2!
+5km/h vs RedBull, +9km/h vs McL
2) BEST SECTORS:
In fact, SAI/LEC were quickest in S1 (two long straights)
McL dominated the slow S3
3) Sainz vs Piastri:
SAI's higher engine power is clear as day: he gained significantly through all the straights.
Once McL turns up the power, they should be on par or quicker than Ferrari. 🔥
🔴SAI was 0.178s quicker than 🟠PIA, but McL's engine mode was clearly lower! 😏
1) TOP SPEEDS:
Ferrari: 352km/h... and it's still FP2!
+5km/h vs RedBull, +9km/h vs McL
2) BEST SECTORS:
In fact, SAI/LEC were quickest in S1 (two long straights)
McL dominated the slow S3
3) Sainz vs Piastri:
SAI's higher engine power is clear as day: he gained significantly through all the straights.
Once McL turns up the power, they should be on par or quicker than Ferrari. 🔥
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