At full throttle, ERS behaviour (deployment vs harvesting) dictates acceleration: the difference reaches 10 m/s², like going from constant speed to stomping the brakes of a road car!
Max deployment: +350 kW
Max harvest at full throttle: −250 kW
Difference: 600 kW (~800 hp)
Via JMP #YesJMPcan
🔋🪫Clipping Analysis (130R)
🟥Ferrari had the WORST top speed: just 320km/h. Ferrari-powered teams were slowest on average (worse than Aston-Honda even!)
🟩Honda had a massive 60km/h clipping: just 267 km/h while still full-throttle! (worst ICE?⛽️)
Via JMP #YesJMPcan #adv
It's confirmed now: NO F1 team changed the length of the 8th gear from testing to racing! (I explain how I computed that in this video!)
Watch the video for my deep explanation! 👉 youtu.be/UVI-lp73cuY?...
Via JMP #YesJMPcan
Notice that, even when ⚫️ saving energy, they're still faster than 🔴Ferrari: ERS power fades over time, ICE power remains!
ICE power is the key to success in 2026
Made via JMP #YesJMPcan #Adv
💡 Who launched best in Bahrain?
Median 0–200 km/h times from all starts in the final #F1 test!
-RUS quickest: 5.30s, nearly previous-gen pace!
-🟥LEC and🟧 PIA were right there
-RBPT-powered drivers were quick; Cadillac and Audi struggled ⚠️
ALL the data in the first comment 👇
Via JMP #YesJMPcan
…more balanced ERS deployment between medium and high speeds. Due to the very long gear, they'll likely have to downshift at full throttle once the clipping starts!
The three Ferrari-Powered teams share the same ratio. Same for Red Bull/Racing Bulls, and Alpine/Williams
Via JMP #YesJMPcan #Adv
💡Some wild stats if you split the season into three 8-race chunks:
-Worst: 🟠PIA at season end (86 pts)
-Best: 🔵VER at season end (191 pts, 23.9 pts/race !)
🟠NOR was never the best - but his worst (130 pts) still easily beat VER’s worst (94) and PIA’s (86)!
Via JMP #YesJMPcan #F1
Laps 11–18 changed everything: McLaren went from looking untouchable to not fast enough to win! ⏳
At the SC restart, ⚫️PIA gained 2.1s/lap on 🔵VER, and the race looked over. For short, though: VER was managing, and improved his pace by 1.4s/lap over the next 7 laps. PIA lost 0.7s
Via JMP #YesJMPcan
McLaren spotted the excessive plank wear far too late!
NOR lifted-and-coasted heavily in the last 4 laps, especially at Turn 10 (Fastest one → worst for wear), losing up to 52km/h! (~1s in one corner alone)
Still, by Lap 46, the damage was already done
PIA didn't lift at all
Via JMP #YesJMPcan #F1
Throwback to last year, when the slipstream made Gasly's Alpine self-destruct!💥(Not his fault)
⚫️Lap 13 (Reference)
🟣Lap 14 (Failure)
Strong tow from TSU, reaching 361km/h under DRS: the engine reached 12937rpm in 8th gear, then exploded! (Speed dropping, no power afterwards)
Via JMP #YesJMPcan
🟠McLaren, 🟣Alpine: the only two #F1 teams that got farther from pole as the season went on!
Everyone else closed the gap; ⚪️Haas clawed back over a third of its deficit.
In the 2nd half, 🟡Racing Bulls overtook 🔵Williams, while Alpine went from 7th to last!
Made via JMP #YesJMPcan
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
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
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
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]
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
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
THE FASTEST F1 LAP EVER (vs its predecessor)
⬛️VER's more loaded upper plane vs 🟪HAM's 2020 car made his DRS much more effective:
-Similar straight-line performance without DRS
-Yet +8km/h top speed with DRS! 🚀
Old-gen cars still quicker in most fast corners 🔥
Made via JMP #YesJMPcan #F1
Performance gains in the ground-effect era have been wild: ~3% less drag, ~12% more high-speed acceleration 😳
📍 Ferrari in Hungary quali:
2022 ➡️2025
✅-2.195s laptime‼️
✅+3km/h top speed
✅+4km/h minimum speed
✅+13km/h in Turn 11‼️
Made via @JMP_software #YesJMPCan #F1
(1/2) Read on 👇
LEC had a plank wear issue - here’s how it ruined his race ⚠️ (Data-backed Theresa) 👇
1️⃣ Lap 9: Bozzi calls for 'FS1' PU mode➡️top speed drops to ~280km/h❌ (ERS cut abruptly)
🔴LEC was faster than 🟠PIA before, slower after; pace still decent
Read on 👇(1/3)
[Via JMP #YesJMPcan #F1]
I've correlated each #F1 team's average quali gap with their WCC points - and some results were surprising! 👀
🔵RBR (VER) was the 2nd best car in quali on average. Yet, they are just 4th in the WCC due to the 'lack' of a second driver
Read on 👇 (Via JMP #YesJMPcan)
#F1 TEAMS QUALI TIER LIST
(Based on average quali gap)
S-Tier: McL (almost always on pole, and when they don't, it's by a tiny margin)
B-Tier: Red Bull, Mercedes, Ferrari (Can fight for poles, but only if everything goes their way). Average quali gap: TENFOLD McL's!
(1/2)👇
Via JMP #YesJMPcan
#F1 telemetry of the near-miss that led to PIA's penalty! (Lap 21) 👀
🟠PIA braked very intensely: around 2g sustained braking. Specifically, the low-speed braking was extreme: he reached ~2.4g at around 126km/h (low speed ➡️little downforce) and in the wet….
Read on 👇(1/3)
[Via JMP #YesJMPcan]
Looking to improve quality and stability ?
See how JMP Control Charts support your process analysis — from spotting issues to investigating problems and monitoring stability.
Join the free workshop:
▶ go.jmp/4464L2s
#JMP #yesJMPcan @JMP_Europe @JMP_software
For over 175 yrs, iconic dairy brand HP Hood has kept grocery store shelves stocked with milk,cream,eggnog,yogurt and other delicious dairy staples. HP Hood is also a market leader in oat milk (Planet Oat),almond milk (Almond Breeze)
#science #JMP #yesJMPcan #DesignOfExperiments
Engineers at HP Hood used Design of Experiments in JMP to cut troubleshooting time from weeks to hours. It also helped them scale their approach across teams, improving process consistency.
Learn how they made experimentation routine and repeatable ▶️
go.jmp/3STYgJF
#JMP #DOA #analytics #yesJMPcan
Start with Design of Experiments.
In this live webinar on June 26, hosted with The Chemical Engineer, you'll learn how DOE helps scientists and engineers get more insight from fewer experiments.
Register here:
➡️ go.jmp/3SQ3J4g
#JMP #DOE #yesJMPcan
