๐คฏThe 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%!) ๐ฒ
RedBull's chances of a WCC progressively declined from 92.6% to just 9.2%.๐
VER is still the WDC favourite (58.9%), but it's almost a coin toss now! Austin will be decisive ๐ฎ
Thanks, @oddschecker team, for contacting me and providing this data! ๐ค
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%!) ๐ฒ
RedBull's chances of a WCC progressively declined from 92.6% to just 9.2%.๐
VER is still the WDC favourite (58.9%), but it's almost a coin toss now! Austin will be decisive ๐ฎ
Thanks, @oddschecker team, for contacting me and providing this data! ๐ค
Made via @JMP_software
โค7๐3
Formula Data Analysis
๐คฏThe 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%!) ๐ฒ RedBull's chances of a WCC progressively declined from 92.6% to just 9.2%.๐โฆ
The โImplied Probabilityโ 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 bookmakerโs 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 bookmakerโs advantage has been removed: their sum is therefore 100%.
๐4
FP1 DATA
Ferrari got a 1-2 finish by being the only team competitive in all sectors ๐
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? ๐คฉ
Ferrari got a 1-2 finish by being the only team competitive in all sectors ๐
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? ๐คฉ
๐ค5โค3
Formula Data Analysis
FP1 DATA Ferrari got a 1-2 finish by being the only team competitive in all sectors ๐ 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/hโฆ
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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 ๐๏ธ, and then I sta
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๐ตVER will start the #F1 Sprint in P1, yet he wasn't the quickest in any sector! (But quick everywhere)
โช๏ธThe 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.
๐ดLEC produced the lowest maximum lateral acceleration (in fact he struggled in S1).
โช๏ธThe 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.
๐ดLEC produced the lowest maximum lateral acceleration (in fact he struggled in S1).
๐10โค3
RACE PACE - F1 SPRINT
Verstappen was quickest on average, but Sainz was almost as quick despite the numerous fights!
He can win the race. ๐
๐ฅ๐ตVER
๐ฅ๐ดSAI +0.05s/lap (traffic)
๐ฅ๐ดLEC+0.24s/lap (traffic)
๐Impressed: Ferrari.
๐Disappointed: 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. ๐
๐ฅ๐ตVER
๐ฅ๐ดSAI +0.05s/lap (traffic)
๐ฅ๐ดLEC+0.24s/lap (traffic)
๐Impressed: Ferrari.
๐Disappointed: 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.
โค13๐3
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) ๐
Next best: Australia (+0.11s/lap)
Best pace since early '22! ๐ก
NOR: 0.1s/lap quicker than VER ๐
RUS and PER: underwhelming pace even considering traffic. ๐จ
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) ๐
Next best: Australia (+0.11s/lap)
Best pace since early '22! ๐ก
NOR: 0.1s/lap quicker than VER ๐
RUS and PER: underwhelming pace even considering traffic. ๐จ
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).
โค16๐ฅ4๐2
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Mexico City GP offers a unique challenge:
The ~20% lower air density (due to altitude) reduces downforce and drag massively.
โฌ๏ธ
- 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. ๐ก
Cars will be sliding significantly due to the decreased downforce and the slippery tarmac.
๐ธ @pirellisport
The ~20% lower air density (due to altitude) reduces downforce and drag massively.
โฌ๏ธ
- 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. ๐ก
Cars will be sliding significantly due to the decreased downforce and the slippery tarmac.
๐ธ @pirellisport
๐13
In the race, Charles Leclerc was on average over THREE SECONDS PER LAP quicker than last year... using the same strategy (Mediumโก๏ธHard)! ๐คฏ
Track conditions alone cannot explain this impressive improvement... and now Ferrari is given over 1 in 4 chances of getting the WCC. ๐
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 โก๏ธ better agility and overall grip; High speed: less front downforce โก๏ธ better stability, aiding driver confidence).
Race pace Improvement by other drivers:
NOR: 2.44s/lap (one less stop than in โ23)
VER: 2.04 s/lap (one less stop than in โ23)
SAI: 2.55s/lap (one less stop than in โ23)
Even SAI, despite being quicker than LEC in โ23 (due to the additional stop) and slower in โ24, 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. ๐
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 โก๏ธ better agility and overall grip; High speed: less front downforce โก๏ธ better stability, aiding driver confidence).
Race pace Improvement by other drivers:
NOR: 2.44s/lap (one less stop than in โ23)
VER: 2.04 s/lap (one less stop than in โ23)
SAI: 2.55s/lap (one less stop than in โ23)
Even SAI, despite being quicker than LEC in โ23 (due to the additional stop) and slower in โ24, gained over half a second vs VER.
๐ฅ15โค2๐1
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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. ๐ฅ
Engine cooling is improved at the expense of more drag and less rear downforce. ๐
Ferrari struggled with temperatures in '23 when they opted for an asymmetrical cooling arrangement. ๐จ
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. ๐
Ferrari struggled with temperatures in '23 when they opted for an asymmetrical cooling arrangement. ๐จ
F1 teams with lower cooling requirements and turbocompressors better suited to the less dense air will lose less performance in Mexico!
โค12๐3๐ฅ2
Austin GP damaged Lando Norris's championship hopes while reviving Ferrariโs chances. ๐ฅ
WDC probability (Before vs After Austin)
๐ฅ๐ตVER: 58.89% โก๏ธ 80.13% (+21.24%๐)
๐ฅ๐ NOR: 38.37% โก๏ธ 17.60% (-20.77%๐)
WCC
๐ฅ๐ McL: 86.86% โก๏ธ 88.50% (+1.64%๐)
๐ฅ๐ดFerrari: 6.47% โก๏ธ 14.29% (+7.82%๐)
๐ฅ๐ตRBR: 9.20% โก๏ธ 5.88% (-3.32%๐)
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 โpost Austinโ WCC percentages is over 100%. Thatโs because I forgot to remove the bookmakerโs edge, my bad!
The pecking order is not affected by that, obviously.
WDC probability (Before vs After Austin)
๐ฅ๐ตVER: 58.89% โก๏ธ 80.13% (+21.24%๐)
๐ฅ๐ NOR: 38.37% โก๏ธ 17.60% (-20.77%๐)
WCC
๐ฅ๐ McL: 86.86% โก๏ธ 88.50% (+1.64%๐)
๐ฅ๐ดFerrari: 6.47% โก๏ธ 14.29% (+7.82%๐)
๐ฅ๐ตRBR: 9.20% โก๏ธ 5.88% (-3.32%๐)
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 โpost Austinโ WCC percentages is over 100%. Thatโs because I forgot to remove the bookmakerโs edge, my bad!
The pecking order is not affected by that, obviously.
โค11๐6๐ฅ3
FP2 - F1 DATA HIGHLIGHTS
๐ดSAI was 0.178s quicker than ๐ PIA, but McL's engine mode was clearly lower! ๐
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. ๐ฅ
๐ดSAI was 0.178s quicker than ๐ PIA, but McL's engine mode was clearly lower! ๐
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. ๐ฅ
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