“How consistent are #F1 drivers?” YES 😄 Only 0.5s separates the best (BEA, both Saubers) and worst (LEC, ANT, both Astons) 0–200 km/h times! Softs launched slightly better than Mediums, while both Astons started on Hards, leading to ‘bad’ starts

🏁 RACE PACE #BrazilGP #F1 🔵VER quickest on average despite traffic! (‘Aided’ by the puncture-forced extra tyre set) 🟠McL next quickest, followed by 🟢Mercedes - and ⚪️Haas! (Austin upgrades clearly worked) 🔴Ferrari’s pace impossible to gauge after a disastrous weekend

🚀 With a fresh power unit, Verstappen hit the highest top speed (346 km/h, same as low-drag Sauber) in his stunning charge from pit lane to the podium, despite an early puncture! Reminiscent of Hamilton’s 2017/2021 Brazil comebacks 🏁 Fastest race pace too, even in traffic; full analysis tomorrow!

🏁#F1 SPRINT PACE 1)NOR 2)ANT +0.07s/lap 3)RUS +0.24 4)VER +0.35 5)LEC +0.72 6)HAM +0.85 7)ALO +0.90 Highest top speed: 351km/h (BEA) Best off the line: OCO / Worst: STR Aero setup info for qualifying/race in the first comment👇

NOR was just 0.014s behind VER in Sector 1, and quickest in the other 2. VER lost over 4 tenths in S2 alone! Teams by ideal lap/sector 1)🟠McL/NOR (quick everywhere) 2)🟢Aston/ALO (well-rounded) 3)⚫️Merc (Struggled in S2, good S3) 4)🔵RBR/VER (Fantastic S1, disaster S2) ... 7)🔴Ferrari! Worst in S3 #F1

#BrazilGP WINGS 🇧🇷 Medium-load setups on average, but with plenty of variety: • Medium-low: Mercedes, Racing Bulls (better if dry) • Medium-high: Aston, Alpine, Haas (better if wet) Big design contrasts: ‘V’-shaped lower plane for McL/Ferrari vs full-width for Red Bull 📸 @albertfabrega.bsky.social

What’s going on with Alpine? 🤔 In Mexico, every team went quicker in quali than last year - except for Alpine, which was 0.654s SLOWER! GAS qualified 18th (8th last year) They currently sit dead last in the WCC, their worst showing since 1978! Via JMP #YesJMPcan

So… I discovered something while digging through some old code of mine... Remember 🔵Red Bull's 'godly' DRS from 2023? It's back! In Mexico it reduced drag by an estimated 34.7% ✅ Others: 🟢Merc 34.0% ✅ 🟠McL 27.1% 🔴Ferrari 21.4% ❌ Read on 👇 #F1

So… I discovered something while digging through some old code of mine... Remember 🔵Red Bull's 'godly' DRS from 2023? It's back! In Mexico it reduced drag by an estimated 34.7% ✅ Others: 🟢Merc 34.0% ✅ 🟠McL 27.1% 🔴Ferrari 21.4% ❌ Read on 👇 #F1

🟠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 Can PIA reverse course? Can VER recover? 👀

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! Via JMP #YesJMPcan

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! Via JMP #YesJMPcan

🟠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 Alpine slowest by far… no surprise! #F1

My page’s lore is getting richer and richer 🤣 (By @racingstatistics.bsky.social) Race pace analysis coming in a few hours: stay tuned!

My page’s lore is getting richer and richer 🤣 (By @racingstatistics.bsky.social) Race pace analysis coming in a few hours: stay tuned!

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

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

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

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

🇲🇽 Mexico’s 2285m altitude cuts air density by 20.7% ➡️ analogous drop in downforce, drag, cooling and engine air intake! Keys to performance: ✅Being able to bolt on downforce (efficiently if possible) ✅Strong cooling capability ✅Large turbocharger, which can spin faster to burn the 100kg/h fuel flow

💡In a race, drag does not dictate which car reaches the highest top speed - the slipstream intensity does! 🟠NOR: LOWEST quali top speed (highest drag) yet HIGHEST AVERAGE top speed in the race (stuck behind LEC!) 🟢 STR hit 342 km/h, +19 km/h vs quali, where he was only 12th in the speed traps!

🏁 RACE PACE #F1 🟠NOR was <0.1s/lap slower than VER on average; 🔵VER was managing, yet NOR was stuck behind 🔴LEC for long! HAM was 0.18s/lap slower than LEC; PIA’s gap to NOR was over twice that! Finally, a race where Ferrari could fight McL Little pace from 🟡Racing Bulls; none from 🟣Alpine

#F1 SPRINT KEY STATS 🏁 Start: -VER quickest to 100 km/h, but OCO reached 200 km/h in the least time -Poor starts for both Astons; worst by SAI Top speeds: -ANT hit 340 km/h (slipstream + DRS) -VER: 305 km/h (no DRS nor slipstream). Yet ALB managed 312 km/h in the same conditions! Race prediction?

💡 Interesting: 2nd (🟠McL) and 3rd (🟢Sauber) fastest in SQ had the worst top speed (324 km/h) ➡️ performance from high downforce 🔵Pole-sitter had the 2nd highest (327 km/h) ➡️ great drag/downforce balance Austin rewards diverse aero load levels! ⚪ Haas = inefficient (high drag, no standout downforce)

BEST SECTORS - FP1 #F1 ALO quickest in S1 (shorter straight, very fast snake). Next were HAM (very high PU mode) and VER HUL quickest in S2 (which includes the longest straight), despite an unimpressive top speed. McL next Papaya drivers quickest in S3

Medium to Medium-High rear wings in Austin - with some quirky choices! 🟠 McL: deep but narrow lower-plane spoon, focusing on the most efficient central section (compare with 🔴 Ferrari’s) Least loaded wings? RB (skinniest upper plane) & Williams (lower plane). 📸 @albertfabrega.bsky.social #F1

Medium to Medium-High rear wings in Austin - with some quirky choices! 🟠 McL: deep but narrow lower-plane spoon, focusing on the most efficient central section (compare with 🔴 Ferrari’s) Least loaded wings? RB (skinniest upper plane) & Williams (lower plane). 📸 @albertfabrega.bsky.social #F1

AUSTIN #F1 PREVIEW 🏁 C1 / C3 / C4 compounds: a big gap between the very hard C1 and the moderately soft C3! 💡Quick in Austin = quick almost anywhere: its mix of hairpins, medium/high-speed corners, and traction + braking zones exposes every weakness! 📸 Pirelli

Remember when just 3 years ago a car’s sidepods could look… like this?!? 😳 Convergence has deprived us of this diversity in design… but expect each car to look VERY unique next year! #F1

In the ground-effect era, 🟠 McLaren went from 130 pts after 18 rounds in 2022 (less than Alpine!) to 650 in 2025 - biggest jump came in 2024 📈 The 2022 “tractor” ⚫️Mercedes W13 remains the best-scoring ground-effect Merc 😲 Read on 👇 (1/2) Via JMP #YesJMPcan

In the ground-effect era, 🟠 McLaren went from 130 pts after 18 rounds in 2022 (less than Alpine!) to 650 in 2025 - biggest jump came in 2024 📈 The 2022 “tractor” ⚫️Mercedes W13 remains the best-scoring ground-effect Merc 😲 Read on 👇 (1/2) Via JMP #YesJMPcan

Hadjar’s performance needs praise: he almost got points (P11) despite a severe PU issue which cost him ~0.5s/lap! (source: TP Alan Pemane) 👏 His highest top speed was ‘just’ 303km/h, with slipstream and DRS, which BOR reached… without DRS!!! 😳 ALB reached 323km/h during his recovery run #F1

Plotting ALL (fuel-corrected) laptimes by tyre compound made the issue obvious: compounds all felt almost the same! 😬 🔴 Softs vs 🟡 Mediums → same pace when new, very similar deg. ⚪️ Hards → drivers could push from the start, and were the quickest in the first 10 laps! Made via JMP #YesJMPcan #F1

Plotting ALL (fuel-corrected) laptimes by tyre compound made the issue obvious: compounds all felt almost the same! 😬 🔴 Softs vs 🟡 Mediums → same pace when new, very similar deg. ⚪️ Hards → drivers could push from the start, and were the quickest in the first 10 laps! Made via JMP #YesJMPcan #F1

#F1 RACE PACE! 🏁 Four drivers had a pace within 0.1s of RUS's, whose brilliant first stint let him cruise in the second one! Ferrari designed an issues-filled car: you’d expect them to fix them over the season, yet they’ve worsened. Both drivers had to run at backmarker pace at the end! Read on 👇

#F1 RACE PACE! 🏁 Four drivers had a pace within 0.1s of RUS's, whose brilliant first stint let him cruise in the second one! Ferrari designed an issues-filled car: you’d expect them to fix them over the season, yet they’ve worsened. Both drivers had to run at backmarker pace at the end! Read on 👇

Congrats to Russell for the pole! But have you ever wondered which track lets #F1 drivers stay full-throttle the most? I wrote code to find out! 😏 Monza & Jeddah: over 75% of the lap full throttle: MENTAL 🔥 Monaco: lowest, but still not far from 50%! Read on 👇 (1/2) [Made via JMP #YesJMPcan]

Congrats to Russell for the pole! But have you ever wondered which track lets #F1 drivers stay full-throttle the most? I wrote code to find out! 😏 Monza & Jeddah: over 75% of the lap full throttle: MENTAL 🔥 Monaco: lowest, but still not far from 50%! Read on 👇 (1/2) [Made via JMP #YesJMPcan]

🗒️Outlook after FP2: -🟦VER confirmed same good feelings of the past 2 weekends➡️RB21's issues likely solved! -Disrupted session, yet 🟧McL does NOT look dominant anymore. 69pts WDC lead, 7 races remaining -Best top speed: ⬜️Haas, 🟥Ferrari. Worst: 🟧McL, 🟨RBs Read on! 👇(1/2) #F1

SINGAPORE = MAX DOWNFORCE! ⚠️ Still, some teams have a more extreme max downforce wing than others: -Aston has a deeper and wider lower plane spoon compared to Alpine; the upper plane looks more vertical, too -Mercedes’ lower plane is much more cambered vs Ferrari’s 📸 @albertfabrega.bsky.social #F1

🗒️ SINGAPORE PREVIEW The C6 (softest) compound WON’T be used: cannot sustain extreme temperatures + max downforce! 🔥 C3-C5 used, instead: deg on the C3 will be minimal -⏬️Max Downforce (despite sector 3 double chicane removal) -⚠️Traction > Braking > Cornering YOUR prediction? 📸 Pirelli #F1

I never thought I’d say this… but I miss her 😭 #F1

Ferrari opted for the less loaded wing after comparing it to a more loaded one in FP2, gaining 6km/h in top speed! 🚀 The difference in acceleration (graph below) was significant at any speed above 240km/h ✅ Braking/cornering/traction were slightly worse, as expected ❌ Made via JMP #YesJMPcan #F1

It was shocking to realise that 20% of the current #F1 grid is following my page! 🤯 (4 out of 20) Verstappen was the first to do so (in 2022), and since then he’s always won the WDC! The power of data analysis? 🤣👀

TOP SPEEDS Bearman hit 361 km/h, while Leclerc’s deployment issue stands out! BEA reached it on L11 with: ✅ DRS ✅ Double tow (STR, HUL) Read on! 👇 (1/2) Made via @JMP #YesJMPcan

TOP SPEEDS Bearman hit 361 km/h, while Leclerc’s deployment issue stands out! BEA reached it on L11 with: ✅ DRS ✅ Double tow (STR, HUL) Read on! 👇 (1/2) Made via @JMP #YesJMPcan

How much did LEC’s ERS issue (2kW, or 2.7hp) affect top speed? Just 0.3 km/h… So Vasseur’s statement seems off 👀 Vasseur "We lacked, I think, 2kW, not much, but enough to make Charles unable to overtake" Let’s check the numbers: 🔋PU power: ~1000hp, or ~735kW 🪫With issue: ~733kW Read on 👇 #F1

How much did LEC’s ERS issue (2kW, or 2.7hp) affect top speed? Just 0.3 km/h… So Vasseur’s statement seems off 👀 Vasseur "We lacked, I think, 2kW, not much, but enough to make Charles unable to overtake" Let’s check the numbers: 🔋PU power: ~1000hp, or ~735kW 🪫With issue: ~733kW Read on 👇 #F1

💡I agree with SkySport Italy: -The SF25 has NO strong points, unlike its predecessors: 2nd-4th best often, quickest never. No wins, 2nd place once (LEC in Monaco) ❌ -As in Canada: strong braking, crucial traction, lot of time spent full-throttle made Mercedes quicker than McL ✅ YOUR take? 🤔 #F1

RACE PACE 📊 (Impacted by traffic!) VER quickest (could manage his pace) RUS was a close 2nd (+0.15s/lap) despite traffic following a bad start SAI and ANT bridged the gap between the top 2 and the 'others' (NOR, TSU, Ferrari and Racing Bulls) Alpine was dead last #F1 #AzerbaijanGP