Formula Data Analysis
Can Machine Learning help F1 engineers predict an undercut attempt?๐ค @HearneLaurence contacted me about it, and later produced a model doing that!๐ค Solid lines: driver's pitting probability๐ฎ Dashed lines: the real pit. The model predicted HAM pitting,โฆ
Remember the Machine Learning model that tried to predict undercut attempts?๐ค
Fantastic news: all the scripts and the 114-page report have been uploaded to GitHub!๐
You will find it here๐
https://github.com/laurence9899/F1_Pitstop_Predict_ML
Kudos to @HearneLaurence for creating it!
Fantastic news: all the scripts and the 114-page report have been uploaded to GitHub!๐
You will find it here๐
https://github.com/laurence9899/F1_Pitstop_Predict_ML
Kudos to @HearneLaurence for creating it!
GitHub
GitHub - laurence9899/F1_Pitstop_Predict_ML: A TensorFlow Model which produces a probabilistic output of a Driver pitting on theโฆ
A TensorFlow Model which produces a probabilistic output of a Driver pitting on the current lap. - laurence9899/F1_Pitstop_Predict_ML
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Sainz's overtake was a real one - and Charles Leclerc didn't concede easily!๐ฌ
Sainz gained 0.5s over the straight, thanks to a better corner exit + slipstream and DRS.
Yet, he had to conclude the overtake into Turn 1: Leclerc braked several metres later than him!
(there was no team order to let Sainz by on the straight, only to not fight him hard)
Sainz gained 0.5s over the straight, thanks to a better corner exit + slipstream and DRS.
Yet, he had to conclude the overtake into Turn 1: Leclerc braked several metres later than him!
(there was no team order to let Sainz by on the straight, only to not fight him hard)
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Mercedes extended the first stint, losing ~2s/lap to the two McLarens for over 10 laps: mid-race they were just 8th and 9th.๐
Pace was excellent in the last stint (fresher tyres), but not enough to offset McL's lower tyre deg!๐
Merc has multiple issues to solve. โ ๏ธ
After pitting for a new set of Hards, Mercedes' pace suddenly improved by over 4s/lap, which is impressive even when taking into account the significant difference in tyre age.
McLaren's performance was less variable both between stints and throughout each stint as well.
Pace was excellent in the last stint (fresher tyres), but not enough to offset McL's lower tyre deg!๐
Merc has multiple issues to solve. โ ๏ธ
After pitting for a new set of Hards, Mercedes' pace suddenly improved by over 4s/lap, which is impressive even when taking into account the significant difference in tyre age.
McLaren's performance was less variable both between stints and throughout each stint as well.
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๐NOTES ON Chinese GP:
-First race in 5 years! First time with 18" rims๐
-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 section๐
๐ธ @pirellisport
Your prediction? ๐ค
-First race in 5 years! First time with 18" rims๐
-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 section๐
๐ธ @pirellisport
Your prediction? ๐ค
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The Chinese GP features a 1.4km full-throttle section!โก๏ธTop speed: crucial for lap time and to attack/defend๐ก
Image: top speed achieved in the last qualifying, during each team's best lap.
๐ขAston has solved their drag issues, contrary to โซ๏ธMercedes and ๐ McL.
๐ดFerrari will likely run the same rear wing used in all the races so far.
Image: top speed achieved in the last qualifying, during each team's best lap.
๐ขAston has solved their drag issues, contrary to โซ๏ธMercedes and ๐ McL.
๐ดFerrari will likely run the same rear wing used in all the races so far.
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Formula Data Analysis
Chinese GP: Medium-high load wings โ
Downforce CRUCIAL from T1 to T13. โThe 1.4km full-throttle section will punish excessive drag, especially if caused by the (fixed) lower plane! ๐ตRBR maximizes DRS effectiveness through an unloaded lower plane + very loadedโฆ
Significant differences among the teams: Mercedes. Ferrari, Alpine and Williams have a less loaded wing compared to Aston Martin, for example.
Compared to RBR, McL has a less loaded upper plane and more loaded lower plane, which should make their DRS less powerful.
Compared to RBR, McL has a less loaded upper plane and more loaded lower plane, which should make their DRS less powerful.
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Visualizing the effect of flexible wings!๐
(Collab with @justf1car ๐ค)
Downforce and drag are proportional to the speed squared: they are very small at low speeds, and become huge at high speeds.
This is a problem: cars have less grip at lower speeds (when they need it the most) and face a lot of air resistance at high speeds (on the straights)!
The clever F1 engineers invented flexible wings to get a better compromise:
-As much downforce as possible at lower speedsโก๏ธCornering improves;
-Reduced drag at high-speed thanks to the flexion of the wingโก๏ธTop speed improves!
(Collab with @justf1car ๐ค)
Downforce and drag are proportional to the speed squared: they are very small at low speeds, and become huge at high speeds.
This is a problem: cars have less grip at lower speeds (when they need it the most) and face a lot of air resistance at high speeds (on the straights)!
The clever F1 engineers invented flexible wings to get a better compromise:
-As much downforce as possible at lower speedsโก๏ธCornering improves;
-Reduced drag at high-speed thanks to the flexion of the wingโก๏ธTop speed improves!
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๐Notes on Chinese GP!
๐ตVER won and made the difference: PER couldnโt gain over NOR on the last stint
๐ NOR was MVP: he needs a win now
๐ดSolid race by LEC; Ferrari limited the damage waiting for the upgrades
โซ๏ธGood recovery by HAM
โช๏ธHUL in the points!
Whatโs YOUR take?๐ค
๐ตVER won and made the difference: PER couldnโt gain over NOR on the last stint
๐ NOR was MVP: he needs a win now
๐ดSolid race by LEC; Ferrari limited the damage waiting for the upgrades
โซ๏ธGood recovery by HAM
โช๏ธHUL in the points!
Whatโs YOUR take?๐ค
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