Formula Data Analysis✓

@FDataAnalysis

| 📖F1 Understanding Starts by Clicking Follow! | 📈Learn To Read F1 Telemetry Data | ⚙️ Motorsport Performance Engineer / Motorcycle Dynamics PhD |

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  1. Formula Data Analysis✓@FDataAnalysis
    Alonso was one of the four drivers to reach 351 km/h during the #USGP! The Honda-powered Aston can reach high top speeds (low drag, possibly decent ICE power), but not CONSISTENTLY: deployment is unsustainable, so Aston’s AVERAGE top speed was the lowest of any team Ferrari started the season aiming to improve their straight-line performance. So far, they do NOT seem to have achieved that: only Aston was slower on average, with Ferrari matching Audi. Epic drives by LEC and HAM, scoring 30 points from P4-P5 with such a low top speed! The 6 cars with the highest top speed all had a Mercedes PU...
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  2. Formula Data Analysis✓@FDataAnalysis
    RACE PACE #USGP #F1 No driver set quicker lap times than LEC! Ferrari 1-2 in this regard 🔥 (HAM was just 0.103 s/lap slower, VER 0.140 s/lap behind) However, ANT was within 3 tenths of LEC despite using one fewer set of tyres: he lost ~16s on pace but saved ~20s by not pitting. Terrific pace and management 👌 RUS had NO PACE: he was slower than HAD and both McL cars, losing over EIGHT TENTHS per lap to his teammate on an equal strategy! 🤔 Rate the race 1 to 10! 7.5/10 for me
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  3. Formula Data Analysis✓@FDataAnalysis
    No doubt Mercedes is still the aero leader: highest top speed (low drag, as shown by +4 km/h vs McL on the same PU) AND fastest through fast Turn 19 (high downforce) → unmatched efficiency VER lost just 10 km/h (vs ANT’s 33 km/h) between lap start and lap end → more sustainable deployment 🔋 LEC had the highest minimum speed and stayed at full throttle longer than anyone else, but his top speed was baffling. His 15 km/h deficit to ANT cost him 0.285s on the main straight alone, less than his gap to pole! McL didn’t shine anywhere What's your podium prediction? 👀 #F1 #USGP
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  4. Formula Data Analysis✓@FDataAnalysis
    FP2 LONG RUNS 📊 Norris fastest overall (the only top-team driver on Hards) Verstappen quickest on Softs (+0.258 s/lap vs NOR), Antonelli on Mediums (+0.369 s/lap) LEC was quicker than VER at the start of the stint, but suffered worse wear. HAM was very slow at the end of his stint: will Ferrari have high deg in the race? 🤔 #F1 #USGP
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  5. Formula Data Analysis✓@FDataAnalysis
    Starting in 2027, the FIA will BAN the use of multiple rim designs in a single weekend to prevent a development race... but why is that an issue with a cost cap in place? 😭 Summary: 1) Teams have been allowed to design their own rims since 2026 2) This lets them manage tyre temperatures much better, e.g. cooler during a race stint → less wear 3) Ferrari introduced a new design in Barcelona, which played a role in HAM's win 4) McL started experimenting with it too 5) The FIA feared (but why?) that teams could develop one set for quali (heating tyres quickly) and one for the race (cooling them down) 6) Ban starting from 2027: only one rim design for both quali and race As a fan of the technical side of #F1, I find these “visual” changes and innovations (wings, rims, etc.) among the most exciting aspects of the sport. Why ban them when a cost cap is in place? You’re only making F1 less interesting for no reason... What's your opinion? 📸: @wearetherace
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  6. Formula Data Analysis✓@FDataAnalysis
    Posts @FDataAnalysis
    In my opinion, having a cost cap in place should mean having LESS development restrictions, not more, as the cost cap itself takes care of one team trumping others due to a higher budget
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  7. Formula Data Analysis✓@FDataAnalysis
    FIA banned the 'Inerter' (also called 'J-Damper') in 2022... but WHAT is that? And HOW does it work? 🤔 I will give you the answers in this thread... and explain how it could have mitigated porpoising! 👀 👇Read on, and get ready to learn!👇 #F1
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  8. Formula Data Analysis✓@FDataAnalysis
    Posts @FDataAnalysis
    FIA banned the inerter in 2022, on the grounds of cost reduction 🚫 The problem was that neither the FIA nor most teams predicted the porpoising The Inerter would have been the perfect weapon to fight it! (By having different stiffnesses at lower and higher frequencies)
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  9. Formula Data Analysis✓@FDataAnalysis
    Posts @FDataAnalysis
    So that was the Inerter!🛠️ Now you are one step closer to becoming an F1 engineer... or just a more tech-savvy fan! 📚 Share the thread with your friends if you enjoyed it, and follow my page to understand Formula 1 better! 🤩🏎️
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  10. Formula Data Analysis✓@FDataAnalysis
    I’m opening a big can of worms: should #F1 bring back refueling? 🤔 Big reasons to do it… but also not do do it! Read this thread to understand this topic better, and comment with your opinion! [Collab with Formula Professor on IG]
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