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Formula Data Analysis
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RACE PACE - Chinese GP

🟡VER 0.67s/lap quicker than PER. A lot, even taking the traffic into account!

🟠McL (NOR) was 0.88s/lap behind but with one pit less.
🔴LEC: +0.31s/lap vs NOR➡️McL was clearly quicker.
🟢Aston's pace aided by the additional pits.

Mercedes: no pace.
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TOP SPEEDS - Chinese GP

Stroll reached 348km/h as in the Sprint, the highest top speed once again: Aston reached the highest top speed in qualifying too, which confirms their low drag here.

McL was the slowest car when the DRS was inactive: only 314km/h.
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AVERAGE TIME IN PITS - Chinese GP

🥇🟡RBR was fastest: flawless execution by
@F1mech and his crew!
🥈🟠McL: +0.06s slower
🥉🔴Ferrari: +0.10s

🟢Sauber desperately needs the updated wheel nuts to fix their troublesome pit stops.

Aston’s average was high due to STR.
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TYRE DEG
(PIA excluded due to the damaged floor)

Aston: 4 tyre sets
RBR/Mercedes: 3 sets
NOR: 2 sets (M-H)
Ferrari: 2 sets

🟠NOR: excellent pace on the Hards (same as 🔵RBR); very good on Medium with low deg.

🔴Ferrari slower than NOR on both compounds.

Merc lacked pace on all compounds.
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Weekly reminder that you can find ALL my socials and extra content through THIS link
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https://linktr.ee/fdataanalysis
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📊Positions gained in the Chinese GP

📈Hamilton gained the most (P18 to P9).
📉Bottas lost the most (P10 to P20 due to his retirement).

Ferrari recovered well after a disappointing qualifying (4 places gained in total).

The opposite for Aston: ALO and STR lost 4 places each.

Via @JMP_software
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Weekly reminder that you can JOIN the CHAT channel to discuss my analyses OUTSIDE of the 'comments'!
👇Use this link👇
https://news.1rj.ru/str/FDataAnCHAT
REMEMBER WHEN REDBULL WAS UNDERPOWERED?

Their '17 car was held back by Renault's low power (and unreliability):
-Competitive in street circuits
-Unsuitable for fast tracks

Still, Newey's team trimmed the rear wing significantly while retaining good downforce: P4 by Daniel Ricciardo in Monza!
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Remember when Ferrari surprised everyone in 2017?

The SF70H was much shorter than the Mercedes (3594mm vs 3726mm wheelbase)

Strengths:
-Downforce
-Race Pace

Weaknesses:
-Top Speed
-Reliability (season-end)

In '18/'19 Ferrari reduced the drag - but lost their downforce edge.

📸: Foto Morio
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📉Mercedes' inexorable (so far) decline:

POINTS AFTER 5 RACES:
2019: 217 (1st)
2020: 180 (1st)
2021: 148 (2nd)
2022: 95 (3rd)
2023: 96 (3rd)
2024: 52 (4th)

Will the team come on top of their problems? And when?🤔
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The 'Ferrari Rollercoaster'🎢

POINTS AFTER 5 RACES:
2019: 121 (2nd)
2020: 55 (3rd)
2021: 78 (4th)
2022: 157 (1st)
2023: 78 (4th)
2024: 151 (2nd)

Ferrari was 3rd in '20 (due to poor competition), and just 4th in '21 and '23!
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🗒Notes on Miami GP

- Low grip➡️High track evolution: timing in quali will be crucial!
- Long straight➡️Excessive drag will be costly! Peculiar track, as it includes a very slow section, too.
- Rear-limited, due to the frequent traction zones.

Your prediction?🤔
📸 @pirellisport
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The last scientific article of my PhD has finally been published! 🤩

I propose and validate a way to ride a motorcycle and derive a complete overview of its tyre behaviour!🏍🛞
A world's first😏

Curious?👀
Read/download the pre-review version here!

https://www.researchgate.net/publication/380287686_An_enhanced_motorcycle_tyre_model_characterised_through_experimental_riding_data
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REAR WINGS - Miami GP

⚫️Merc: Medium-high load🔼 (very deep spoon)➡️They'll struggle on the straights

🟠McL: Medium▶️
🔴Ferrari/🔵RBR: Medium-low🔽

🟣Alpine is testing two specs:
-GAS: Medium-low🔽
-OCO: Low load! (Engine deficit?)

Very diverse choices across the grid!
📸 @AlbertFabrega & @Graftechweb
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WINGS COMPARISON - Miami GP

🔵RBR as reference

🔴Ferrari:
-slightly more loaded lower plane
-slightly less loaded DRS plane
Similar to RBR, with possibly less effective DRS
🟠McL: more loaded lower plane
⚫️Merc: MUCH more loaded lower plane➡️Highest drag
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