LEC was SLOWER in all the last 4 corners in ⚫️Quali compared to 🔴FP2!🤯
Ferrari's overnight changes (probably raised the car to limit plank wear) killed its downforce and balance:
- Lost 8km/h and almost 1g in T11;
- Had to lift more in T12;
- Lost 2km/h and 0.4g in T13.
Another weird thing happened in qualifying (noted by @GaborWeber): Ferrari switched repeatedly between low and high power modes in qualifying, something I've never seen before (and which has no logical explanation).🤔
Ferrari's performance in the season opener left us with more questions than answers...
Made via @JMP_software
Ferrari's overnight changes (probably raised the car to limit plank wear) killed its downforce and balance:
- Lost 8km/h and almost 1g in T11;
- Had to lift more in T12;
- Lost 2km/h and 0.4g in T13.
Another weird thing happened in qualifying (noted by @GaborWeber): Ferrari switched repeatedly between low and high power modes in qualifying, something I've never seen before (and which has no logical explanation).🤔
Ferrari's performance in the season opener left us with more questions than answers...
Made via @JMP_software
👍10❤4
Formula Data Analysis
LEC was SLOWER in all the last 4 corners in ⚫️Quali compared to 🔴FP2!🤯 Ferrari's overnight changes (probably raised the car to limit plank wear) killed its downforce and balance: - Lost 8km/h and almost 1g in T11; - Had to lift more in T12; - Lost 2km/h…
And, for those of you who are data-nerds and want to understand better how the new cards perform, I’ve written an extensive post-race analysis article!🤩📊
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Australian GP – a Chaotic Opener Revealed a Dominant Car in Front of a Close Field! — Formula Data Analysis
Post by Formula Data Analysis
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CHINESE GP PREVIEW
- More representative track than Australia; one-step-harder compounds (C2-C4) due to high tyre stress;
- Stability under braking and lateral grip will be important;
- Medium wing load provides the best drag/downforce compromise;
- Most stressed tyre: Rear Left.
Will Ferrari solve their issues?
Will the stricter wing flexibility tests impact the pecking order? 🤔
📸: @pirellisport
- More representative track than Australia; one-step-harder compounds (C2-C4) due to high tyre stress;
- Stability under braking and lateral grip will be important;
- Medium wing load provides the best drag/downforce compromise;
- Most stressed tyre: Rear Left.
Will Ferrari solve their issues?
Will the stricter wing flexibility tests impact the pecking order? 🤔
📸: @pirellisport
❤9👍1🥰1
REAR WINGS - Chinese GP
Similar choices across the grid (medium-load wings)➡️Each car's inherent drag and downforce will be more evident! 💡
Ferrari is using a rear wing much more similar to McLaren's 👀(instead of a more loaded one as in Australia).
Remember that the FIA is introducing much stricter tests in China to test wing flexibility❗️(which should hurt some teams more than others).
📸 @AlbertFabrega
Similar choices across the grid (medium-load wings)➡️Each car's inherent drag and downforce will be more evident! 💡
Ferrari is using a rear wing much more similar to McLaren's 👀(instead of a more loaded one as in Australia).
Remember that the FIA is introducing much stricter tests in China to test wing flexibility❗️(which should hurt some teams more than others).
📸 @AlbertFabrega
👍13❤4
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CHINESE GP SPRINT QUALI DATA
Let's analyse Lewis Hamilton's first pole in red!
1) AERO ANALYSIS:
- 🔴🔵Ferrari/RedBull: high efficiency (high downforce, low drag);
- 🟢Mercedes: lowest drag;
- 🟠McL: Highest downforce;
- 🟣Alpine/⚪️Haas: highest drag.
2) MINISECTORS:
HAM/VER's +5km/h higher top speed made them gain on PIA on all the straights (who recovered in the fast corners).
3) GAP TO IDEAL LAP:
A McL P1-P4 finish was possible, but they couldn't combine their best sectors!
Let's analyse Lewis Hamilton's first pole in red!
1) AERO ANALYSIS:
- 🔴🔵Ferrari/RedBull: high efficiency (high downforce, low drag);
- 🟢Mercedes: lowest drag;
- 🟠McL: Highest downforce;
- 🟣Alpine/⚪️Haas: highest drag.
2) MINISECTORS:
HAM/VER's +5km/h higher top speed made them gain on PIA on all the straights (who recovered in the fast corners).
3) GAP TO IDEAL LAP:
A McL P1-P4 finish was possible, but they couldn't combine their best sectors!
❤5👍5🥰1
Formula Data Analysis
CHINESE GP SPRINT QUALI DATA Let's analyse Lewis Hamilton's first pole in red! 1) AERO ANALYSIS: - 🔴🔵Ferrari/RedBull: high efficiency (high downforce, low drag); - 🟢Mercedes: lowest drag; - 🟠McL: Highest downforce; - 🟣Alpine/⚪️Haas: highest drag. 2) MINISECTORS:…
👀 For all the data nerds who want to see ALL the 58 analyses made so far:
https://buymeacoffee.com/f1dataanalysis/chinese-gp-analyses-repository-3557620
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Chinese GP - Analyses Repository — Formula Data Analysis
Post by Formula Data Analysis
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CHINESE GP - PRACTICE 1 | LONG RUNS:
Ferrari didn't do any➡️an issue for the Sprint?
Everyone used Mediums: McL and Mercedes were quickest (Excluding ALO/OCO who did just 3 valid laps). Mercedes' degradation was high.
VER was slowest: RBR used very low PU modes and a lot of fuel (slow in the fast corners).
Ferrari didn't do any➡️an issue for the Sprint?
Everyone used Mediums: McL and Mercedes were quickest (Excluding ALO/OCO who did just 3 valid laps). Mercedes' degradation was high.
VER was slowest: RBR used very low PU modes and a lot of fuel (slow in the fast corners).
👍9❤4
My ‘Sprint and Quali Preview/Prediction’ in-depth article👇
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Chinese GP - Sprint, Quali, and Race Preview — Formula Data Analysis
Post by Formula Data Analysis
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CHINESE GP SPRINT PACE💡
1) 🔴HAM
2) 🟠PIA +0.27s/lap
3) 🟢RUS +0.46
4) 🔴LEC +0.47
5) 🔵VER +0.50
Ferrari's excellent tyre management helped HAM in his dominant win.
Qualifying (and Sprint Qualifying best sectors) showed that McL (and maybe Mercedes) are quicker, yet they wear their tyres more.
An exciting race ahead!
1) 🔴HAM
2) 🟠PIA +0.27s/lap
3) 🟢RUS +0.46
4) 🔴LEC +0.47
5) 🔵VER +0.50
Ferrari's excellent tyre management helped HAM in his dominant win.
Qualifying (and Sprint Qualifying best sectors) showed that McL (and maybe Mercedes) are quicker, yet they wear their tyres more.
An exciting race ahead!
❤16👍1
Formula Data Analysis
CHINESE GP SPRINT PACE💡 1) 🔴HAM 2) 🟠PIA +0.27s/lap 3) 🟢RUS +0.46 4) 🔴LEC +0.47 5) 🔵VER +0.50 Ferrari's excellent tyre management helped HAM in his dominant win. Qualifying (and Sprint Qualifying best sectors) showed that McL (and maybe Mercedes) are quicker…
Gap in each sector:
👏6❤4
CHINESE GP: RACE PACE PER TEAM
Fastest one-stopper:
1) 🟠McL/PIA
2) 🟢Merc/RUS +0.22s/lap
3) 🔵RBR/VER +0.26
4) 🔴Ferrari/LEC +0.41 (damage)
5) ⚪️Haas/OCO +0.79
McL was unbeatable: PIA was still quicker than HAM despite using one less set of tyres!
HAM's pace at the end was not enough to recover the time lost pitting.
Ferrari lost the pace advantage they had in the Sprint.
Haas' pace was great!
What's YOUR take? 🤔
Fastest one-stopper:
1) 🟠McL/PIA
2) 🟢Merc/RUS +0.22s/lap
3) 🔵RBR/VER +0.26
4) 🔴Ferrari/LEC +0.41 (damage)
5) ⚪️Haas/OCO +0.79
McL was unbeatable: PIA was still quicker than HAM despite using one less set of tyres!
HAM's pace at the end was not enough to recover the time lost pitting.
Ferrari lost the pace advantage they had in the Sprint.
Haas' pace was great!
What's YOUR take? 🤔
❤11👍5🥰3