Formula Data Analysis
4.08K subscribers
1.59K photos
10 videos
3 files
933 links
All the analyses of the worldโ€™s most famous page on Formula 1 telemetry: join NOW to understand F1 better!๐ŸŽ๐Ÿ“ˆ
Download Telegram
๐ŸคฏThe 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%!) ๐Ÿ˜ฒ

RedBull's chances of a WCC progressively declined from 92.6% to just 9.2%.๐Ÿ“‰

VER is still the WDC favourite (58.9%), but it's almost a coin toss now! Austin will be decisive ๐Ÿ”ฎ

Thanks, @oddschecker team, for contacting me and providing this data! ๐Ÿค

Made via @JMP_software
โค7๐Ÿ‘3
Formula Data Analysis
๐ŸคฏThe 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%!) ๐Ÿ˜ฒ RedBull's chances of a WCC progressively declined from 92.6% to just 9.2%.๐Ÿ“‰โ€ฆ
The โ€˜Implied 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 bookmakerโ€™s advantage has been removed: their sum is therefore 100%.
๐Ÿ‘4
FP1 DATA

Ferrari got a 1-2 finish by being the only team competitive in all sectors ๐Ÿ‘Œ

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? ๐Ÿคฉ
๐Ÿค”5โค3
๐Ÿ”ตVER will start the #F1 Sprint in P1, yet he wasn't the quickest in any sector! (But quick everywhere)
โšช๏ธ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.

๐Ÿ”ดLEC produced the lowest maximum lateral acceleration (in fact he struggled in S1).
๐Ÿ‘10โค3
RACE PACE - F1 SPRINT

Verstappen was quickest on average, but Sainz was almost as quick despite the numerous fights!
He can win the race. ๐Ÿ€

๐Ÿฅ‡๐Ÿ”ตVER
๐Ÿฅˆ๐Ÿ”ดSAI +0.05s/lap (traffic)
๐Ÿฅ‰๐Ÿ”ดLEC+0.24s/lap (traffic)

๐Ÿ“ˆImpressed: Ferrari.
๐Ÿ“‰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.
โค13๐Ÿ‘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) ๐Ÿ†

Next best: Australia (+0.11s/lap)
Best pace since early '22! ๐Ÿ’ก

NOR: 0.1s/lap quicker than VER ๐Ÿ‘Œ
RUS and PER: underwhelming pace even considering traffic. ๐Ÿšจ

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).
โค16๐Ÿ”ฅ4๐Ÿ‘2
Weekly reminder that you can JOIN the CHAT channel to discuss my analyses OUTSIDE of the 'comments'!
๐Ÿ‘‡Use this link๐Ÿ‘‡
https://t.me/FDataAnCHAT
TOP SPEEDS - Austin GP

RUS reached 344km/h! Plenty of slipstream+DRS during his comeback.

VER was slowest - by far. Just 313km/h, as he never used DRS on the main straight. That's low even considering that.

PIA's drag was high: lowest top speed with (326) and without DRS (312).
๐Ÿ‘12๐Ÿ‘1
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. ๐Ÿ’ก

Cars will be sliding significantly due to the decreased downforce and the slippery tarmac.

๐Ÿ“ธ @pirellisport
๐Ÿ‘13
In the race, Charles Leclerc was on average over THREE SECONDS PER LAP quicker than last year... using the same strategy (Mediumโžก๏ธHard)! ๐Ÿคฏ

Track conditions alone cannot explain this impressive improvement... and now Ferrari is given over 1 in 4 chances of getting the WCC. ๐Ÿ€

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 โžก๏ธ better agility and overall grip; High speed: less front downforce โžก๏ธ better stability, aiding driver confidence).

Race pace Improvement by other drivers:
NOR: 2.44s/lap (one less stop than in โ€˜23)
VER: 2.04 s/lap (one less stop than in โ€˜23)
SAI: 2.55s/lap (one less stop than in โ€˜23)

Even SAI, despite being quicker than LEC in โ€˜23 (due to the additional stop) and slower in โ€˜24, gained over half a second vs VER.
๐Ÿ”ฅ15โค2๐Ÿ‘1
Weekly reminder that you can find ALL my socials and extra content through THIS link
๐Ÿ‘‡
https://linktr.ee/fdataanalysis
Mexico's lower air density is forcing Ferrari to add cooling louvres to its car - even compared to another high-altitude track like Austria. ๐Ÿ”ฅ

Engine cooling is improved at the expense of more drag and less rear downforce. ๐Ÿ“‰

Ferrari struggled with temperatures in '23 when they opted for an asymmetrical cooling arrangement. ๐Ÿšจ

F1 teams with lower cooling requirements and turbocompressors better suited to the less dense air will lose less performance in Mexico!
โค12๐Ÿ‘3๐Ÿ”ฅ2
Austin GP damaged Lando Norris's championship hopes while reviving Ferrariโ€™s chances. ๐Ÿ”ฅ

WDC probability (Before vs After Austin)
๐Ÿฅ‡๐Ÿ”ตVER: 58.89% โžก๏ธ 80.13% (+21.24%๐Ÿ“ˆ)
๐Ÿฅˆ๐ŸŸ NOR: 38.37% โžก๏ธ 17.60% (-20.77%๐Ÿ“‰)

WCC
๐Ÿฅ‡๐ŸŸ McL: 86.86% โžก๏ธ 88.50% (+1.64%๐Ÿ“ˆ)
๐Ÿฅˆ๐Ÿ”ดFerrari: 6.47% โžก๏ธ 14.29% (+7.82%๐Ÿ“‰)
๐Ÿฅ‰๐Ÿ”ตRBR: 9.20% โžก๏ธ 5.88% (-3.32%๐Ÿ“‰)

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 โ€˜post Austinโ€™ WCC percentages is over 100%. Thatโ€™s because I forgot to remove the bookmakerโ€™s edge, my bad!

The pecking order is not affected by that, obviously.
โค11๐Ÿ‘6๐Ÿ”ฅ3
FP2 - F1 DATA HIGHLIGHTS

๐Ÿ”ดSAI was 0.178s quicker than ๐ŸŸ PIA, but McL's engine mode was clearly lower! ๐Ÿ˜

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. ๐Ÿ”ฅ
๐Ÿ‘9โค2
Sainz beat Verstappen by 0.225s by gaining significantly from Turn 3 to 6 - and not losing his advantage afterwards ๐Ÿ”ฅ

SAI: +1km/h top speed on the main straight; +4km/h on the next one ๐Ÿš€

VER used III gear in T4, while SAI downshifted to II

VER took T9 full-throttle!
๐Ÿ”ฅ12๐Ÿ‘3
Who's excited for the race? ๐Ÿ”ฅ๐Ÿ˜‰
๐Ÿ”ฅ36๐Ÿ‘7๐Ÿฅฑ4