Formula Data Analysis
@FDataAnalysis
|📖 F1 Understanding Starts by Clicking Follow! ⬆️|📈Learn To Read F1 Telemetry Data 📊|⚙️ Motorsport Performance Engineer, PhD in Motorcycle Dynamics 🏎️|
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It was shocking to realise that 20% of the current #F1 grid is following my page! 🤯 (4 out of 20) Verstappen was the first to do so (in 2022), and since then he’s always won the WDC! The power of data analysis? 🤣👀 @Max33Verstappen @FranColapinto @PierreGASLY
#BrazilGP WINGS 🇧🇷 Medium-load setups on average, but with plenty of variety: • Medium-low: Mercedes, Racing Bulls (better if dry) • Medium-high: Aston, Alpine, Haas (better if wet) Also big design contrasts: ‘V’-shaped lower plane for McLaren/Ferrari vs full-width for Red…
What’s going on with Alpine? 🤔 In Mexico, every team went quicker in quali than last year - except for Alpine, which was 0.654s SLOWER! Gasly said he was satisfied with the progress from Friday to Saturday… yet he qualified 18th (8th last year) The team claims it’s focused…
So… I discovered something while digging through some old code of mine... Remember 🔵Red Bull's 'godly' DRS from 2023? It's back! In Mexico it reduced drag by an estimated 34.7% ✅ Others: 🟢Merc 34.0% ✅ 🟠McL 27.1% 🔴Ferrari 21.4% ❌ In Austin? Same trend! (lower values due…
MEXICO’S MOST COMPREHENSIVE PERFORMANCE ANALYSIS ⛽️Fuel-corrected laptimes vs 🛞tyre age Mediums or softs, fresh or worn - it didn’t matter: NOR had a huge ~0.4s advantage all else being equal! Only exception: end of the soft stint, when VER and SAI were quickest! LEC was 2nd…
🟠NOR was quickest… despite using one less tyre set than most! 😳 🟠PIA lost 0.15s/lap despite pitting twice ⚪️BEA was 3rd fastest, but not quick enough vs 🔵VER /🔴 LEC to offset the extra stop Soft-Medium 1)NOR quickest 2)VER +0.30s/lap 3)LEC +0.38 Soft-Medium-Soft 1)PIA…
My page’s lore is getting richer and richer 🤣 (By Racing Statistics!) Race pace analysis coming in a few hours: stay tuned!
Lesson learnt: NEVER omit a driver from the long run analyses! 😬 #F1 #MexicoGP @OllieBearman
Norris’ quali advantage looks to be confirmed in the race as well: he was quickest, the only top driver to use softs along with his teammate! Still, not quickest overall: BEA’s stint on Mediums was even quicker! #MexicoGP #F1
HAM reached 352km/h in FP2 already 😬 Williams and Mercedes exhibited the best top speeds on average McLaren was draggy, as expected, but less so than Haas and Racing Bulls #F1 #MexicoGP
🇲🇽 Mexico’s 2285m altitude cuts air density by 20.7% vs sea level ➡️ analogous drop in downforce, drag, cooling, and engine air intake! Keys to performance: ✅Being able to bolt on downforce (efficiently if possible) ✅Strong cooling capability ✅Large turbocharger, which can…
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