Acceleration times per compound 👇

So... I did something😬

I'm teaming up with JMP to organise an F1-themed data analysis summer challenge!🤩

You'll analyse the data from an F1 race: laptimes, compounds, pit stops, speed traps, you name it!🏎

Same data for everyone: may the best among you win!
Info in comment👇

1) SIGN UP
2) DOWNLOAD a JMP free trial and the dataset
3) CREATE your analysis in JMP, and submit it

I will be on the jury alongside other experts. The winners will present their findings in a webinar and will also receive a LEGO F1 car! 🧱

Click here:
https://www.jmp.com/en/offers/summer-challenge/motorsport?utm_source=fdanalysis&utm_medium=social&utm_campaign=701Ki000000EZJgIAO

See you at the challenge!

AUSTRIA PREVIEW

C3-C5 compounds (as last year);
Optimal strategy was 2 stops (Starting on Mediums, alternating Mediums and Hards).

KEY FEATURES:
- 700m altitude (~7% lower air density ➡️Less drag and downforce).
- Fewest corners (10), shortest laptime (1'02"939 pole in 2020).
- Requires balance: traction, braking, medium and high-speed cornering, power and drag are all important.

RACE PACE 2024
VER and NOR were very close in performance; RUS capitalised on their crash to win! PIA didn't have the updated car. RBR and McL were quickest, Mercedes and Ferrari not far off them.

📸 @pirellisport

AUSTRIAN GP - REAR WINGS

- Track layout requires medium-low downforce (many straights; medium-high speed corners present but not prevalent).

- Lower air density (~7%), however, forces teams to claw back some of the lost downforce.


Load levels (Highest to lowest):
Aston / Alpine⏫
McL
Haas / Ferrari
Mercedes / RBR
Racing Bulls⏬


📸 @AlbertFabrega

LONG RUNS - Austrian GP is looking spicy 🔥

🔴SOFT:
1) HAM
2) VER +0.145s

🟡MEDIUM:
1) NOR
2) ANT +0.144s
3) LEC +0.201s

⚪️HARD:
1) PIA
2) SAI +0.340s
3) ALB +0.498s

Longest stints: ANT (14 push laps), TSU (13);
ALB's tyres had 26 laps by the end of the stint!

McL is the clear favorite.
Ferrari is not looking bad.
ANT did a streak of 8 extremely fast laps! (his pace dropped afterwards) .

My VERY extensive ‘Quali and race preview’ article (2500+ words, over 19 images/analyses from FP2) 👇

https://buymeacoffee.com/f1dataanalysis/austrian-gp-quali-race-preview-3800589

AUSTRIAN GP - RACE PACE

McL dominated the race, finishing almost 20s in front of the next best car (Ferrari/LEC) and lapping everyone but the top 7!

Both Saubers within 1-2 tenths of RUS.

LAW and ALO had an excellent pace despite the one-stopper: brilliant race.

PACE
1) 🟧 NOR quickest
2) 🟧 PIA +0.03s/lap
3) 🟥 LEC +0.27
4) 🟥 HAM +0.43
5) 🟩 RUS +0.91

Who surprised you the most? 🤔👀

McLaren is dominating this season: they have scored 417 points in 11 races, just 2 less than their two main rivals COMBINED! 🚀

(419: 210 Ferrari + 209 Mercedes)

AUSTRIAN GP

UPPER IMAGE: Gap to Leader
(only non-lapped drivers shown)

Yes, just 5 other drivers were not lapped by NOR!


LOWER IMAGE: Tyre Wear
(fuel-corrected laptimes per team and tyre compound)

Ferrari and RUS were closer to McL on Mediums than on Hards.

Russell’s pace on Hards was terrible!

BRITISH GP - WING THURSDAY!

McLaren is still unsure about the best wing to run at Silverstone 💡

A MORE loaded wing (left) provides:
✅✅ Much better braking (grip + stability);
✅ Improved cornering and traction;
❌ Higher drag (main drawback).

🛞 Will it result in better tyre deg? Yes... maybe
- The tyres will spin/slide less ➡️Smaller temperature spikes ➡️ Lower thermal deg.
- Tyres will be subject to higher vertical forces, AND also longitudinal/lateral forces if the driver exploits the additional grip ➡️ Larger MECHANICAL stress.

The AVERAGE temperature can get higher, increasing the mechanical wear (tyre gets softer) and the thermal wear too.

In Silverstone, a more loaded wing normally improves tyre deg. There are exceptions, though: LEC got P3 in 2020 on the terrible SF1000 also thanks to the lower tyre stress induced by his less loaded rear wing!

If you liked this topic I will make a more detailed discussion and analysis on it in the future!

Photos by: @albertfabrega

So... I did something😬

I'm teaming up with JMP to organise an F1-themed data analysis summer challenge!🤩

You'll analyse the data from an F1 race: laptimes, compounds, pit stops, speed traps, you name it!🏎

Same data for everyone: may the best among you win!
Info in comment👇

1) SIGN UP
2) DOWNLOAD a JMP free trial and the dataset
3) CREATE your analysis in JMP, and submit it

I will be on the jury alongside other experts. The winners will present their findings in a webinar and will also receive a LEGO F1 car! 🧱

Click here:
https://www.jmp.com/en/offers/summer-challenge/motorsport?utm_source=fdanalysis&utm_medium=social&utm_campaign=701Ki000000EZJgIAO

See you at the challenge!

A race weekend might be the best time to get involved in a F1-themed data analysis challenge! 👀🏎

If you missed it, the JMP Summer Challenge will have you working on real F1 data, with no entry fee and with a prize for the winner! 🏆🏁

More info: https://www.jmp.com/en/offers/summer-challenge/motorsport?utm_source=fdanalysis&utm_medium=social&utm_campaign=701Ki000000EZJgIAO

BRITISH GP - PRACTICE 2 ANALYSIS

The telemetry of 🟧NOR vs 🟥LEC's laps is VERY interesting:

🟧NOR was 8km/h (!!) quicker than LEC at Turn 4 apex, yet he was also quicker on entry and no slower on exit.

🟧NOR downshifted to 2nd gear into T7 (LEC used 3rd).

🟥LEC didn't lift into Copse (T9), but his ERS deployment before that is much lower (notice how he loses more and more speed)!

🟥However, he was 8km/h quicker at the end of the snake (T12-13) as he lifted was less through there, producing ~1g higher lateral acceleration. He only lost a bit on exit.

🟥He lifted less into T15, but his performance was similar to NOR's.

Summary: 🟧McL is the favourite, but 🟥Ferrari should be strong again, as in Austria (Mercedes might be in the mix too, aided by the cooler temperatures).

What's YOUR opinion?

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https://buymeacoffee.com/f1dataanalysis/british-gp-analyses-repository-3817123