CODEF1 @code____F1 Twitter profile

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CODEF1

1 year

Tyre Strategy Model 1: 🧵 Had lots of fun playing with some basic simulations for optimal tyre strategy using Monte Carlo simulations (pictured) and Machine Learning (not pictured) in python. #montecarlo #simulation #python #tyres #pirelli #prediction #f1 #racing #strategy

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CODEF1

@code____F1

4 months

#F1 –PRE-SEASON TESTING IS BACK! Here are things we will be watching for🧵: 🔵 RED BULL -SLOW CORNER SPEEDS There will be a whole lot to look for in the RB20! We’ll focus on the speed and rotation through the slower corners–one of the few weaker aspects of th 2023 predecessor

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CODEF1

@code____F1

8 months

Pit Stops less than 2.5 seconds for the Top 4 Constructors RED BULL 🔵 remain the leaders with close 43.5% of all of their pitstops being under 2.5 seconds 🤯 Mercedes ⚫️: less than 2% of all of their pit stops being less than 2.5% Impressive from Ferrari🔴 and McLaren 🟠 #F1

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CODEF1

@code____F1

5 months

Driver Reaction Times, 2023 Campaign 🧵 Fastest Reaction Times off the Line on Average: Lando Norris 🟠 Lewis Hamilton ⚫️ Charles Leclerc 🔴 Lewis Hamilton, at 39 years of age, has a reaction time faster than 90% of the grid. 🤯 #F1

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CODEF1

@code____F1

4 months

⚪️MERCEDES - PIT STOP UPGRADES: Of the top 4 teams, Mercedes had the slowest pit stops in 2023—be on the look out for some upgrades to the wheel guns and other bits to improve in this area

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CODEF1

@code____F1

2 months

Lewis Hamilton had an IMPRESSIVE weekend in Miami and maximized BOTH stints on his HARD⚪️—> MEDIUM 🟡 strategy—🧵 Lewis on Sunday, was quicker than George (on the reverse strategy) for 78% of the entire race 🤯 #F1 #MIAMIGP #Miami 🌴

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CODEF1

@code____F1

2 months

The best race starts at the Chinese Sprint Race go to 🧵: ⚫️Lewis Hamilton and 🔴Charles Leclerc They both had the Quickest starts off the line⚡️⚡️ [0-200kph] #ChineseGrandPrix #ChineseGP #F1

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CODEF1

@code____F1

4 months

⚪️MERCEDES - DRAG REDUCTION The W14 was hampered by drag last year—be sure to check out max top speeds to see if they have improved in this area compared to last year

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CODEF1

@code____F1

4 months

⚪️MERCEDES -REAR STABILITY Both Mercedes drivers found the W14 unpredictable and with an unstable rear end—we will be watch turn 12 to see if the rear is stepping out throughout testing

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CODEF1

@code____F1

4 months

🔴 FERRARI -BOTTOMING We will be looking at turn 12 for Ferrari, to see if the bottoming and resulting unsettling of the car, persists in testing. This caused both Carlos and Charles to crash in the same corner in Miami—will the new platform give them the stability they need?

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CODEF1

@code____F1

3 months

Albert Park, through corners 9 and 10, are high speed with rapid direction changes—similar to the Suzuka esses. We revisited the fastest laps during the race in Australia to look for clues as to how teams might perform through the high speed, twisty esses in Japan 🧵: #F1

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CODEF1

@code____F1

11 months

Hungarian GP, Average Pace, 2023 🧵 We analyzed the race pace in third stint of the race. It was 🔨 time in Budapest! The Mercedes of Lewis Hamilton was less than one tenth on average behind the Red Bull of Max Verstappen… #F1 #HungarianGP

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CODEF1

@code____F1

4 months

🔴 FERRARI TOP SPEED -Can Ferrari bring back the top speed they had on the straights to compete with an aerodynamically efficient RB20? We will be watching the speed traps during testing LONG RUNS -High deg hampered the team in 2023–long run times can help to analyze deg rate

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CODEF1

@code____F1

4 months

🟠 MCLAREN -SLOW CORNER PERFORMANCE Much like Red Bull, we will be looking to see if McLaren made improvements in the slow speed corners, an area that had lower performance for the team, despite an impressive jump up the order in season

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CODEF1

@code____F1

6 months

Bit of fun training this computer vision ML model—there are LOADS of directions to take this—stay tuned Step 1 proof of concept ✅ #F1

CODEF1

@code____F1

6 months

New computer vision model in training 🧬🧪⚗️🤖 #F1

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CODEF1

@code____F1

3 months

@fiagirly This is damning—the question now has to be, who governs the governing body?

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CODEF1

@code____F1

1 year

Barcelona GP 🇪🇸, Track Changes, 2023🧵 The #SpanishGP circuit this year will feature a new configuration The chicane (turns 14-15) are now removed, making the track 18 meters shorter than in 2022. *Data adapted from F1 and Pirelli #f1 #python #datascience #spain

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CODEF1

@code____F1

3 months

#AustralianGP RACE PACE in the final stint on the hard tyres and on light fuel⚪️: 🔴Ferrari were on form! Leclerc was fastest in the final stint, taking the fastest lap and Carlos Sainz was third quickest 🟠McLaren! An impressive pace from Lando,🥈fastest and Oscar in 4th #F1

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CODEF1

@code____F1

8 months

*less than 2% of Mercedes pit stops are less than 2.5s

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CODEF1

@code____F1

4 months

PRE-SEASON TESTING DAY 1 Total number of laps, by Engine Manufacturer, Constructor and Driver Total laps by Engine ⚙️: 🟢HONDA—RBPT: 257 laps 🔵MERCEDES: 440 laps 🟣RENAULT: 120 laps 🔴FERRARI: 409 laps Most by a team: ⚪️ HAAS Most by a single driver: 🔵 VER #F1

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CODEF1

@code____F1

1 year

UPGRADES per Constructor After Round 8, 2023 🧵 We analyzed the distribution of upgrades on the car of each constructor to identify 1) the estimated total number of upgrades per team and 2) highlight areas of focus per team #f1 #canada 🇨🇦 #canadiangp #upgrades #driver

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CODEF1

@code____F1

2 months

Ferrari 🔴had the BEST deg on their tyres followed closely by Red Bull (who were quickest overall) Degradation Ranking: Ferrari 🥇 Red Bull 🥈 McLaren Aston Martin Mercedes * med 🟡 Teams can change setups now so this learning could inform new directions for the race! #F1

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CODEF1

@code____F1

1 year

It’s learning! 🤖🫱🏽‍🫲🏾🧪⚗️ Really excited for you guys to see what we can do with this! #MachineLearning #F1 #computervision

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CODEF1

@code____F1

4 months

FERRARI 🔴 have REALLY improved their tyre degradation—an unwanted feature that hampered the SF-23. 🧵 In 2023, Ferrari were 4th out of the 4 top tops in terms of tyre deg. 📉 In 2024, Ferrari at the same circuit on the same tyre and stint, rank 2nd of the top 4 teams📈* #F1

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CODEF1

@code____F1

1 year

@F1 Fixed it! 🤖🧬🧪🔬⚗️

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CODEF1

@code____F1

2 months

Key F1 Hires of F1 teams [2021-present] 🧵 ‘The Supreme Art of War is to subdue your enemy without fighting’—Sun Tzu Talent Acquisition is key in F1–getting the right talent, in the right role, for the right era lays the foundation for future success #30DayChartChallenge #F1

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CODEF1

@code____F1

1 year

Tyre Deg Analysis for the Opening Stint on SOFT 🔴 tyres 🧵 We analyzed tyre degradation rate on the soft tyres are found that the Mercedes had very gentle wear on high fuel on the soft tyres, which was evidenced by their ability to extend their stints on the soft tyre #f1

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CODEF1

@code____F1

2 months

More so, Lewis started the race on the hard tyre on heavy fuel and was faster than George for 62% of the first stint. Mega showing from Lewis this weekend! *Laps under safety car were not counted in this analysis

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CODEF1

@code____F1

1 month

An impressive Monaco Qualifying Lap from both Charles Leclerc and Oscar Piastri! Both drivers have been on it all weekend—can Ferrari execute the dream weekend with Charles Leclerc at his home GP? Or will Oscar in his McLaren take his first Grand Prix victory? #MonacoGP #F1

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CODEF1

@code____F1

1 year

We used AI and Machine Learning to evaluate Driving Style: There might be a few surprises in how styles cluster 👀 Hope you enjoy! Check in out on YouTube: @TechHeadsF1 @mollym_o @F1DataAnalysis @f1_aerodynamics @NaturalParadigm @brrrake @CameronF1YT

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CODEF1

@code____F1

4 months

🟢 ASTON MARTIN DRAG REDUCTION | HIGH & SLOW SPEED CORNERS Compared to ‘23: We are looking mostly at Sectors 1 and 3–how settled is the car in higher speed corners? Any clues in the speed traps for drag reduction on the straights? Do the cars look planted in slower corners?

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CODEF1

@code____F1

9 months

@EngineMode11 @markboots A small point of differentiation—Aston Martin did go to the Stewards after the decision was made based on that document—important or not, I’m not sure. But they were in fact present for one part of it

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CODEF1

@code____F1

5 months

@tarmactorque 🤯Lewis Hamilton should have been on the Lance Stroll contract at Mercedes—for infinity

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CODEF1

@code____F1

11 months

Ferrari (not shown) were an average of 0.845s off Max on the harder compound tyres A special note: Daniel Ricciardo was an average of 0.400s faster than his teammate with the longest stint on the medium tyre on the grid How did you like the race? Let us know below!

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CODEF1

@code____F1

1 year

@fiagirly Rosie has been behind some strategic masterclasses for the team—it would be great to see her in that role

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CODEF1

@code____F1

2 months

Race Pace and Strategy Predictions for the #ChineseGP 🐉🇨🇳: The undercut could be powerful in China as evidenced by the sprint DRS train formation! For drivers with an extra set of soft tyres, opting for Strategy 3 could be the way to go Images by: #F1

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CODEF1

@code____F1

1 year

Qualifying Gaps, 2022 Campaign 🧵 In tight battles for the front, support from your teammate is critical and can profoundly shape the outcome of the race from the very beginning. #F1

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CODEF1

@code____F1

1 year

#AzerbaijanGP , Sprint Qualifying Tyre Degradation Analysis, 2023 🔴 Ferrari most susceptible to deg on the mediums (new) with the highest degradation rate Could this open up an opportunity for Mercedes and Aston Martin? #F1

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CODEF1

@code____F1

8 months

@premystic The banter between Danika and Susie is something to behold—Susie is a powerhouse!✨🔥

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CODEF1

@code____F1

1 year

@FastestPitStop It’s definitely cool but not when it comes to health data—a no from me. In fact, I think that F2 should make that type of graphic optional for all drivers so they can choose to have it shown or not

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CODEF1

@code____F1

2 years

@MattyWTF1 We did an analysis and found that Zhou has been able to extract more from his car than Bottas on average (single lap pace)—super impressive!

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CODEF1

@code____F1

1 year

#F1 #BahrainGP , Tyre Degradation Analysis, 2023. We analyzed deg on stint 1 & 3 on the across teams. 🔵Red Bull had the lowest deg for both tyre sets. 🟢AMR was strong on the soft tyre, less so hards.⚫️Mercedes struggled on the soft tyres—deg similar to Ferrari on hards

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CODEF1

@code____F1

1 year

#CanadianGP , RACE PACE PER STINT, 2023 We analyzed the race pace on Stints 1 and 2 for the top three constructors and for drivers on the same tyre In Stint 1–There was < 0.100s difference between HAM and ALO. VER out front and ahead (asterisk= no DRS in this stint) 🧵 #f1

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CODEF1

@code____F1

4 months

#SaudiaArabianGP Despite a strategic gamble—Lewis was flying on the soft tyre in the closing laps in Jeddah. However, it was Charles Leclerc that took the fastest lap of the race, impressively on the hard tyres. It’s true, Lewis had his biggest losses on the straights 🧵

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CODEF1

@code____F1

1 year

#AzerbaijanGP , Tyre Performance Analysis, 2023 We analyzed tyre performance on stint 2, hard tyres for select drivers—Sergio Perez deserves his flowers 🇲🇽💐 for great tyre management! Credit to LEC, HAM and ALO for eking out their pace with little performance remaining! #F1

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CODEF1

@code____F1

8 months

MCLAREN 🟠 look to be in contention for a race win tomorrow—they have the best deg overall and Lando was especially quick in terms of race pace Ferrari have the highest deg 🔴 *Data include drivers on medium tyres **Degradation assumed to be non-linear #F1 #USGP #AustinGP

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CODEF1

@code____F1

1 year

#BritishGP , The Curious Case of McLaren,2023 🧵 In the fading laps on the British GP, a late safety car saw the McLaren team face with a decision: PIT FOR SOFT 🔴 or HARD ⚪️ tyres Mclaren went with HARD ⚪️, but was it really the right strategy? DEFINITELY! Here’s why: #f1

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CODEF1

@code____F1

2 months

McLaren, take a bow! The fastest average pace in the final stint! Second Stint RACE PACE: 🥇: Lando Norris 🥈: Charles Leclerc 🥉: Sergio Perez Red Bull, Ferrari and McLaren within 0.300s! #MiamiGP #F1

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CODEF1

@code____F1

3 months

CONSTRUCTOR UPGRADES AFTER ROUND 2, 2024 🧵 Though early in the development race—it’s Williams🥇, RB 🥈and Aston Martin 🥉with the most upgrades thus far. This plot also gives a sense of the spatial distribution (ie. which regions of the car) are core areas of focus. #f1

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CODEF1

@code____F1

1 year

Beginnings of our computer vision model 👀 #F1 #machinelearning #computervision #lewishamilton #mercedes

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CODEF1

@code____F1

3 months

Mercedes are struggling. Of the top 5 teams, Mercedes had the top 1-2 worst deg over each stint—especially evident on the HARD compounds and in contrast to the exceptional degradation of the Ferrari on MEDIUM tyres (red asterisks) in stints 1-2 #JapanaseGP #F1

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CODEF1

@code____F1

1 year

#britishGP Race Pace Analysis [Fuel Corrected], 2023 🔵VER with fastest race pace this weekend on the soft tyres.🟠 Mclaren with sensational pace on hard tyres is 0.184s from RBR—the 2nd fastest car this weekend! An impressive 2nd stint from ALB 🔵in the Williams on softs #f1

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CODEF1

@code____F1

1 month

Update to key employee moves since 2021: ⚫️Mercedes: -13 key employees 🚨📉 🔴Ferrari: +4 key employees 📈 #F1

CODEF1

@code____F1

2 months

Key F1 Hires of F1 teams [2021-present] 🧵 ‘The Supreme Art of War is to subdue your enemy without fighting’—Sun Tzu Talent Acquisition is key in F1–getting the right talent, in the right role, for the right era lays the foundation for future success #30DayChartChallenge #F1

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CODEF1

@code____F1

8 months

@HerezAThought Good point—it’s more representative to look at Ferrari pitstops compared with Mercedes These data take the total number of stops less than 2.5seconds for the total number of recorded pit stops per team McL is high from the beginning of the year and lap 1 incidents, RBR similar

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CODEF1

@code____F1

5 months

Had a fun few days training this computer vision model—VERY excited to show you all what we will do with it next🥹🤓 We built this one start to finish on custom data with the help of the talented Simone and Ankita Now time for some analysis and visualization! 🧬🧫🔬🧪 #F1 #AI

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CODEF1

@code____F1

1 year

@TwommoF1 @LandoNorris @OscarPiastri You have made the Jamaican flag 🇯🇲🇯🇲🇯🇲🇯🇲🇯🇲🔥

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CODEF1

@code____F1

5 months

Data: Reaction Times were measured as the time it takes for drivers to go from 0-100kph after lights out. Pit lane starts were not counted in these analyses. Check out our YouTube for a more in depth explanation!

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CODEF1

@code____F1

11 months

What makes Max Verstappen UNIQUE amongst F1 Champions since 1990? He is the only F1 World Champion to date that has never had a world champion teammate (yet)! If you could pair Max with a World Champion, current on the grid or off—who would it be and why? #f1 #BelgianGP

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CODEF1

@code____F1

1 year

We are working on some game theoretical strategies for optimizing tyre strategies…stay tuned! 👀♟️ #F1 #gametheory

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CODEF1

@code____F1

5 months

@tarmactorque 🤯 That is WILD! The board needs to looks inwards—crazy!

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CODEF1

@code____F1

11 months

Excited to finally announce our first ever python tutorial (for beginners) on data analysis using F1 data Like, share, subscribe and leave us a comment so that we can improve even more! #F1 Link:

CodeF1 | Formula 1 Data Analysis Using Python: A Pit Stop Analysis Using the Waffle Chart

Introduction: In the world of data-driven decision-making, visualizing data effectively is paramount. It helps us uncover patterns…

medium.com

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CODEF1

@code____F1

3 months

GUESS THIS RACE! A race in which ALL compounds were used 🔴🟡⚪️🟢🔵 We are doing a series of strategy throwback quizzes—comment below to let us know where this race was held and a bonus for the year! *This is the complete race illustrated below #F1

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CODEF1

@code____F1

1 year

#SaudiArabianGP Tyre Deg Analysis FP2, 2023 Don’t sleep on Alpine. With Red Bull, they had the best tyre deg on both tyre sets. Merc had minimal deg on the medium tyre relative to Ferrari and Aston Martin. Will each team do a 1 stop? Or will other strategical tricks be used? #F1

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CODEF1

@code____F1

1 year

A young British Ferrari Academy Driver has burst onto the scene in F2—taking an historic ‘clean sweep’ by topping every session and winning each race of the race weekend in Baku. All eyes are on the 17 year old 🧵 #f1 #essereferrrari #ferrari #carlossainz #olliebearman #f2

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CODEF1

@code____F1

11 months

The early start hampered Lewis’s ability to stave off the Mclarens which where much more balanced in the earlier stints in the race and quicker. However, in the later stints, they were over 0.300s slower on average than Lewis

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CODEF1

@code____F1

1 year

🧵The Mercedes W14 has made significant gains compared to its predecessor in the W13 to close the gap to Red Bull. The W14 has averaged around 0.400s faster than the W13 relative to the Red Bull #f1 #baku #azerbaijan

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CODEF1

@code____F1

11 months

Upgrades by Constructor After around 13 Who has brought the most upgrades thus far, and where they gone on the cars? We mapped the upgrades per constructor to better understand areas of focus on each car, and the relative amount of upgrades brought to each car #F1 #Python

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CODEF1

@code____F1

2 months

Adrian Newey has the chance to do the impossible—he has won a world title with ALL engine manufacturers on the grid bar ONE— SCUDERIA FERRARI 🔴🐎 If there is a chance to win it all? Would you take it? And with who? #F1

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CODEF1

@code____F1

4 months

Average long run times by: @wearetherace 🔵: RED BULL 🟠: MCLAREN 👀 ⚫️: MERCEDES These long runs are 🤏🏾 #f1

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CODEF1

@code____F1

9 months

#SingaporeGP TEAM SPECIFIC ANALYSIS: MERCEDES We compared the GAP(s) per lap between teammates 🧵 George put in a sensational lap around Marina Bay to start on the front row. However, it was Sunday where Lewis showed his speed—faster than his teammate for 54.24% of the race

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CODEF1

@code____F1

3 months

If these data are anything to go by, we might expect to see this order through the essses: 🔵 Red Bull strong in this section in Japan (Max’s quali lap through turns 9 and 10 were the fastest overall) 🔴Ferrari >= 🟠McLaren ⚫️ Mercedes 🟢 Aston Martin

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CODEF1

@code____F1

11 months

😉🫱🏽‍🫲🏾 | Stint 3 Fuel corrected Lap Times #F1 #HungarianGP

Tracing Insights - F1 Analytics 📈

@TracingInsights

11 months

#F1 #HungarianGP Lando Norris outpaces Lewis Hamilton on heavy fuel loads at the race's start As the race progressed and the fuel loads lightened, the Mercedes comes alive helping Lewis shave off about a second per lap

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CODEF1

@code____F1

19 days

The #CanadianGP is up next: Braking and Traction through low speed corners is key with finding the balance in the straights High probability of a SC/VSC 💥 Rain 🌧️is highly likely this weekend so wet🔵/inters 🟢could make multiple appearances and could bring jeopardy! #F1

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CODEF1

@code____F1

11 months

#BelgianGP , Tyre Degradation Analysis, 2023 Ferrari had the measure of Mercedes this weekend They had the pace in the hands of LEC and had better deg 🟢with their setup in Spa. Can Ferrari take this learnings into the summer break to build from here? #f1 #Ferrari

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CODEF1

@code____F1

11 months

How close do drivers come to their perfect? How much (in seconds) is ‘left on the table’? 🧵 We analyzed the average GAP to each driver’s perfect lap and found that on average, Yuki Tsunoda comes the closest to his perfect lap🔥 #F1

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CODEF1

@code____F1

6 months

New computer vision model in training 🧬🧪⚗️🤖 #F1

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CODEF1

@code____F1

11 months

@ESPNF1 Small tweak 😉

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CODEF1

@code____F1

8 months

#MexicanGP , 2023 After the 🚩, McLaren and Mercedes opted for the 🟡 compound tyres. Commendation must be given to Lando and Lewis, on their tyre finesse—both maximizing their results and outshining their teammates Lewis set the fastest lap such was his management—impressive

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CODEF1

@code____F1

4 months

@gerbengr2000 Thank you! Appreciate the support!✨🤩✨

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CODEF1

@code____F1

8 months

Summary of all pit stops per team under 2.5s for after Round 19, 2023 MASSIVE kudos to Alpha Tauri, they might be 10th in the constructor standings but they are an impressive 4th in terms of super quick pit stops!🔥 #F1

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CODEF1

@code____F1

9 months

@EngineMode11 I would much rather use these computer vision approaches for track limits monitoring—much like they do in tennis 🎾

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CODEF1

@code____F1

2 months

Special Kudos💐 to Oscar Piastri—he drove an incredible race today before his collision with Carlos Sainz Great race also by Lewis Hamilton—impressive drive to take P6, fantastic start on the hard tyres Yuki Tsunoda! Mega drive to finish ahead of George Russell #F1 #MiamiGP

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CODEF1

@code____F1

3 months

#JapaneseGP Winners Since 2016 #F1

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CODEF1

@code____F1

4 months

Excellent job, Dan!!✨🔥

Dan - EngineMode11

@EngineMode11

4 months

Hi Please enjoy this video I spent far too long making about Shakedowns and then realizing afterwards that YouTube shorts can only be 60 seconds. Classic Dan.

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CODEF1

@code____F1

8 months

#USGP , Average Race Pace Per Stint, 2023 Fastest Driver By Stint of the Top 4 Teams: Stint 1: 🟣Lewis Hamilton Stint 2: 🟣Max Verstappen Stint 3: 🟣George Russell Mercedes were quick this weekend (irrespective of the DSQ) #F1 #AustinGP

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CODEF1

@code____F1

3 months

Australian GP, STINT 1 for Medium Tyre Runners, 2024 🧵 It is now becoming clear that the SF-24 is MUCH better on its tyres than its predecessor. The Maranello based team had one of the BEST tyre deg rates in the opening stint (purple arrow)—an impressive upgrade!

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CODEF1

@code____F1

11 months

@FDataAnalysis @RolandoTillit The best evidence I can think of for how Red Bull might be affected is in DRS inactive situations such as wet qualifying sessions—there they were also quite competitive so I can’t imagine this ban affecting their performance too much

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CODEF1

@code____F1

1 year

Thanks to the @TechHeadsF1 podcast for alerting me to this! @ACEMike88 , looking forward to having a read—thank you! #F1

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CODEF1

@code____F1

1 year

Interested in taking a deeper look at tyre management (whispering 😉) across drivers and teams? New Analysis (example): #F1 Tyre Performance! Data below are from Stint 1 on Soft Tyres for #MaxVerstappen and #SergioPerez ,Mexico, 2022 🧵 #matplotlib #python #pygame

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CODEF1

@code____F1

3 months

#JapaneseGP Qualifying A Red Bull 1-2 in Japan and a front row lockout to start the race on Sunday Special shoutout to Yuki who starts his home GP from P10 in the points #F1

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CODEF1

@code____F1

4 months

Just a reminder, Ferrari 🔴 had the 2nd most pit stops ✨LESS THAN 2.5s✨ in 2023—The Scuderia pit stops are quick! #F1 #Ferrari

CODEF1

@code____F1

8 months

Pit Stops less than 2.5 seconds for the Top 4 Constructors RED BULL 🔵 remain the leaders with close 43.5% of all of their pitstops being under 2.5 seconds 🤯 Mercedes ⚫️: less than 2% of all of their pit stops being less than 2.5% Impressive from Ferrari🔴 and McLaren 🟠 #F1

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CODEF1

@code____F1

1 month

ITS RACE WEEK: IMOLA 🇮🇹 We return to Imola in 2024, 30 years after the tragic passing of Ayrton Senna 💚💛💙 Teams this weekend will be bringing key upgrades that could consolidate or shakeup the pecking order—it’s all still to play for! Stay tuned! #F1 #ImolaGP

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CODEF1

@code____F1

11 months

Are the new Ground Effect regulations working? #F1

CODEF1

@code____F1

11 months

Observed Distribution of Finishing Positions by Team, 2023 🧵 We asked, how do the 2023 observed finishing positions compare to expected scenarios for finishing positions? #F1

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CODEF1

@code____F1

3 months

It’s RACE DAY and my birthday😅! If you feel inclined—please consider giving to some my favourite non-profits working to promote women in STEM: @BlackGirlsCode @WomenWhoCode @technolochicas #F1

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CODEF1

@code____F1

3 months

It was Mercedes and Aston Martin that seem to struggle the most in this section, with George Russell, carrying the least speed into the corner and lifting through the corner losing the most speed of any of the top four teams.

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CODEF1

@code____F1

10 months

In free air im during the late stages of the #DutchGP , Mercedes were QUICK on INTERS 🟢, here is why 🧵: Dutch GP, Lap 67-72 Intermediate Tyre Pace, 2023 After the safety car restart, it was a shootout until the end, here is what we found:

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CODEF1

@code____F1

10 months

@primetimekaydee Great video! It’s impressive watching the lines Lewis takes to close the gap to the kart in front—you can still see that today

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CODEF1

@code____F1

10 months

#F1 RACE WEEK: Singapore GP🇸🇬 We dedicate our race week announcement to Sergio Perez CodeF1 does not tolerate discrimination of any kind All the best for this week, Checo 🇲🇽 We stand with you! It’s Race Week in Singapore and the king of of the streets returns to take his 👑

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CODEF1

@code____F1

1 year

TEAM SPECIFIC ANALYSIS: ASTON MARTIN 🧵 🟢 Team Points: ALO: 8 STR: 1 Mike Crack: 3 In the #AustrianGP , Mike Crack in his admissible track limits protests, garned an additional 3 points for the team (25% of the total🤯) #F1 @AMF1News

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CODEF1

@code____F1

8 months

It’s the #MexicanGP 🇲🇽 up next! The air is thinner at the elevation of the Mexico City circuit, lowering the overall drag penalty. Expect Mercedes ⚫️ to be quick around Mexico Valtteri Bottas holds the fastest lap record (2021) in Mexico 🎶Song clip: F1lasvegas #F1

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