/r/formulaone
Welcome to r/formulaone: The Intersection of Formula 1, Data Analytics, and Technical Insights!
This subreddit is designed to bridge the gap between r/formula1 and r/f1technical, catering specifically to Formula 1 enthusiasts with a keen interest in data analytics and technical aspects of the sport. Whether you're an casual fan, a data analyst, or a technical expert, this is the perfect place to delve deeper into the numbers and intricacies that drive the world of Formula 1.
Welcome to r/formulaone: The Intersection of Formula 1, Data Analytics, and Technical Insights!
This subreddit is designed to bridge the gap between r/formula1 and r/f1technical, catering specifically to Formula 1 enthusiasts with a keen interest in data analytics and technical aspects of the sport. Whether you're an casual fan, a data analyst, or a technical expert, this is the perfect place to delve deeper into the numbers and intricacies that drive the world of Formula 1.
🏁 About Us: At r/formulaone, we're all about exploring the fascinating world of Formula 1 through a data-driven lens. Here, we encourage discussions, analyses, and debates on topics ranging from race strategies, car performance, engineering advancements, driver statistics, and everything else related to the sport. Our aim is to provide a platform for in-depth conversations and exchange of knowledge among fellow Formula 1 enthusiasts.
🔍 Data Analytics: Whether you're a seasoned data analyst or simply curious about the insights hidden within the vast pool of Formula 1 data, this subreddit is the perfect destination for you. We encourage the sharing of data-driven analyses, visualizations, predictive models, and statistical discussions. Uncover trends, discover patterns, and gain a deeper understanding of the sport through the power of data analytics.
💬 Engage and Connect: Engagement and community interaction are at the heart of r/formulaone. We encourage all members to participate actively, ask questions, share opinions, and contribute valuable insights. Be respectful, courteous, and remember to follow the subreddit's rules to ensure a welcoming and inclusive environment for everyone.
🌐 Related Subreddits: Check out these related subreddits:
r/formula1: The go-to subreddit for general discussions, news, race results, and more.
r/f1technical: Dive deep into the technical aspects of Formula 1, including aerodynamics, engineering, and innovations.
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/r/formulaone
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Chinese GP - Race | Positions Gained: Hamilton gained the most (P18 to P9). Bottas lost the most (P10 to P20 due to his retirement). Ferrari recovered well after a disappointing qualifying (4 places gained in total). The opposite for Aston: ALO and STR lost 4 places each. [Via JMP Software]
15:01 UTC
Chinese GP - Race | Tyre Deg (PIA excluded due to the damaged floor): Aston: 4 tyre sets. RBR/Mercedes/NOR: 3 sets. Ferrari: 2 sets. NOR: excellent pace on the Hards (same as RBR); very good on Medium with low deg. Ferrari slower than NOR on both compounds. Merc lacked pace on all compounds.
11:43 UTC
Chinese GP - Race | Average Time in Pits: RBR was fastest: flawless execution by Calum Nicholas and his crew! McL: +0.06s slower. Ferrari: +0.10s. Sauber desperately needs the updated wheel nuts to fix their troublesome pit stops. Aston’s average was high due to STR.
17:47 UTC
Chinese GP - Race | Race Pace Analysis: VER 0.67s/lap quicker than PER. A lot, even taking the traffic into account! McL (NOR) was 0.88s/lap behind but with one pit less. LEC: +0.31s/lap vs NOR➡️McL was clearly quicker. Aston's pace aided by the additional pits. Mercedes: no pace!
17:47 UTC
Chinese GP - Sprint | Start Analysis: Best Starters: HAM and LEC. Worst Starter: PIA (0.4s slower than HAM and LEC to reach 200km/h). The two Williams struggled too (0.3s lost to the best start). Despite the Softs, Russell's start was just average.
05:22 UTC
Chinese GP - Sprint | Top Speed per Lap: Highest top speed: 348km/h for Stroll! Leclerc was close (347km/h), and his average top speed was the highest together with Ricciardo's (337km/h for both). Highest top speed without DRS: 324km/h (TSU).
05:21 UTC
Chinese GP - Sprint | Race Pace Analysis: No one could match VER: 0.74s/lap quicker than anyone else! LEC was 2nd quickest, then PER (+0.79s/lap) and ALO (+0.80s/lap). HAM was in the mix, too (+0.82s/lap). McLaren was uncompetitive . What's your prediction for the race?
13:59 UTC
Chinese GP - Sprint Qualifying | Top Speed: Nine teams were in a narrow 3km/h range: Fastest (322km/h): Aston, Haas and Williams. Slower: (319km/h): McL and Ferrari. Slowest (just 315km/h): Alpine (high drag and, despite that, the drivers had to brake sooner than most)!
13:59 UTC
Chinese GP - P1 | Best Sector Times: 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.
07:41 UTC
Chinese GP - Practice 1 | Track Domination: 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).
07:41 UTC
The Chinese GP 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 likely run the same rear wing.
07:26 UTC
Chinese GP - Tyres | Notes on the Chinese GP Track: 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. [Image: Pirelli Motorsport]
15:30 UTC
Formula One Sponsorship Research
Hello! I am writing my dissertation for university on sponsorship within motorsport. I have a very short survey that you might find interesting! It will also help me out a lot. It will only take a couple minutes. Thankyou :) Will be happy to share the results once completed for those interested.
13:14 UTC
Does anyone have like an hour long video of the 2011 Lotus onboard? :)
10:11 UTC
Japanese GP | Stints: Ferrari made TWO strategies work brilliantly: good strategy, tyre wear, and driving! Check out the last stint (on Hards): after pitting, SAI was 2s/lap quicker than LEC, who was managing his older tyres. LEC pushed more and more in that stint as the finish line got closer.
13:17 UTC
Fernando Alonso is here to stay...🔥
17:01 UTC
Formula 1 Race used air intake
one of my friends recently received an F1 2014 Force India Race used air intake as a part of a giveaway and he's not looking to sell it, however we would like to know how much it may sell for if he ever decided to?
11:17 UTC
Gifted an F1 ticket MONEY CAN’T BUY.
01:46 UTC
Japanese GP - Race | Sector Times: 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]
13:45 UTC
01:39 UTC
Japanese GP - Race | Gap to Race Winner: Only LEC and SAI led a lap in addition to VER (after the latter pitted). In the last stint, LEC and NOR had the most laps on their tyres (27), HAM the least (15): that made him much quicker than both. Still, SAI was even quicker, on 17-laps old Hards!
15:53 UTC
Japanese GP - Race | Tyre Wear: Best wear: Ferrari and Aston (on both Hards and Mediums). Worst (by far!): Mercedes on Hards; McL on Mediums. RBR's wear was moderate, and it didn't impact their excellent pace. The high wear ruined Mercedes' race.
13:41 UTC