Formula Data Analysis

@FDataAnalysis
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📈| Learn To Read F1 Telemetry Data 📊
⚙️| Mech Engineer, PhD in Vehicle Dynamics 🏎️
📖| FOLLOW to Learn, and click the link for more!
Where to Find Mehttps://linktr.ee/fdataanalysis
Extra Contenthttps://www.buymeacoffee.com/f1dataanalysis
Gap to race winner through the laps: notice how close PIA was to the driver in front throughout the race! https://t.co/n6bcdamzAQ
Formula Data Analysis (@FDataAnalysis) on X

Gap to race winner through the laps: notice how close PIA was to the driver in front throughout the race!

X (formerly Twitter)

🟠Piastri’s race was ruined by traffic: was P9 after a poor quali and bad start, and only ran in free air during parts of the last stint!

In my view, a one-stopper would have helped, letting him pass those ahead (all on two stops) as they pitted

🟠BEA had the 2nd-best pace in https://t.co/Fcw3rnxo32

Formula Data Analysis (@FDataAnalysis) on X

🟠Piastri’s race was ruined by traffic: was P9 after a poor quali and bad start, and only ran in free air during parts of the last stint! In my view, a one-stopper would have helped, letting him pass those ahead (all on two stops) as they pitted 🟠BEA had the 2nd-best pace in

X (formerly Twitter)

Answering this before it gets asked: 'Why did your race pace analysis show that BEA had better pace than LEC on average, yet this new graph shows that he was slower?'

Because BEA did one more stop than LEC: on equally-worn tyres, BEA was indeed slower. However, he had, ON

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 https://t.co/xuZeCXiZcc

Formula Data Analysis (@FDataAnalysis) on X

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

X (formerly Twitter)

🟠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 https://t.co/HkopqOUEnr

Formula Data Analysis (@FDataAnalysis) on X

🟠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

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My page’s lore is getting richer and richer 🤣 (By Racing Statistics!)

Race pace analysis coming in a few hours: stay tuned! https://t.co/ebgs58WwNO https://t.co/Nv7SWNU5ur

Formula Data Analysis (@FDataAnalysis) on X

My page’s lore is getting richer and richer 🤣 (By Racing Statistics!) Race pace analysis coming in a few hours: stay tuned!

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The full race-pace analysis: https://t.co/OaGgjjVN3I
Formula Data Analysis (@FDataAnalysis) on X

The full race-pace analysis:

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Lesson learnt: NEVER omit a driver from the long run analyses! 😬
#F1 #MexicoGP @OllieBearman https://t.co/cumwjT2VNV
Formula Data Analysis (@FDataAnalysis) on X

Lesson learnt: NEVER omit a driver from the long run analyses! 😬 #F1 #MexicoGP @OllieBearman

X (formerly Twitter)

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 https://t.co/8eRd0q0jAz

Formula Data Analysis (@FDataAnalysis) on X

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

X (formerly Twitter)
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 https://t.co/fj6V55VRHe
Formula Data Analysis (@FDataAnalysis) on X

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

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