Formula Data Analysis
@FDataAnalysis
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https://linktr.ee/fdataanalysis 12-03-2022 12:08:14
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FASTEST SECTORS - FP1 #chineseGP
Mercedes/ ALO on Hards
Others on Softs
🟠NOR quickest in the twisty S1 by far:
-McL is showing excellent grip
-Most teams are probably still far from the limits
He aborted the lap while in Sector 3
🟢STR: quickest in S2
🟡RBR: quickest in S3
MINISECTORS - FP1 #ChineseGP
🟢STR was quickest on the main straight, and out of T3/T8/T12
🟠PIA fast in the twisty S1 and S3
🟡VER quickest in S3 (long straight)
Laptimes still very slow (almost 5s to last pole)➡️Hard to guess the running order!
Aston: 324km/h (+4km/h vs McL)
The #ChineseGP features a 1.4km full-throttle section!➡️Top speed: crucial for lap time and to attack/defend💡
Image: top speed achieved in the last qualifying, during each team's best lap
🟢Aston has solved their drag issues, contrary to ⚫️Mercedes and 🟠McL
🔴Ferrari will
🗒️NOTES ON #ChineseGP
-First race in 5 years! First time with 18' rims🛞
-First sprint of 2024
-Similar to Bahrain, where Aston struggled and Merc edged McL. That was 4 races ago, though!
-2 stops are likely
-1.4km full-throttle section🚀
📸 Pirelli Motorsport
Your prediction? 🤔
Remember the Machine Learning model that tried to predict undercut attempts?🤖
Fantastic news: all the scripts and the 114-page report have been uploaded to GitHub!😁
You will find it here👇
github.com/laurence9899/F…
Kudos to Laurence Hearne for creating it!
SECTOR TIMES - #JapaneseGP
🔥Sainz's sectors were on fire in his last stint!
HAM was quick on 🟡Mediums (on a fresher set). However, Mercedes lacked consistency: notice the big gap in S1 and S2 between the first and second ⚪️Hard sets!⚠️
Made via JMP Software #YesJMPcan #F1