FINALSECTOR
ITALIAN GRAND PRIX · FINAL PRACTICE · MONZA · DEMO DATA

Final practice, decoded.

Every lap, sector, and pit stop from the Monza timing feed — translated into plain English. Start with who was fast; drill into the telemetry whenever you want it.

DEMO DATA FP3 · Monza· Session complete· Timing: FastF1 / OpenF1· Updated 14:59 UTC
THE RECAP

Session snapshot

01 · PACE

Leclerc leads outright

1:31.982 — the fastest lap of final practice, 0.122s clear of Norris's McLaren.OBSERVEDDERIVED

02 · ATTRIBUTION

Not all car

The model credits roughly 40% of Ferrari's edge to Leclerc and 60% to the car.MODEL

03 · STRATEGY

Softs fade fast

Soft-tyre pace fell 0.084s per lap across the stint — degradation could decide Sunday.MODEL

FASTEST LAP
1:31.982OBSERVED
Charles Leclerc · Ferrari · lap 11
GAP TO P2
+0.122sDERIVED
Lando Norris · McLaren
TOP 5 COVERED BY
1.039sDERIVED
Five cars, five teams
TRACK
38.2°COBSERVED
Air 24.6°C · dry, no rain
WHO WAS FASTEST TODAY

Session classification

Observed results only — the five fastest laps of the session. What it means for Sunday is a separate question, answered below.

#DRIVERTEAMFASTEST LAPGAP
1FER Charles LeclercOBSERVEDFerrari1:31.982—
2MCL Lando NorrisMcLaren1:32.104+0.122DERIVED
3RBR Max VerstappenRed Bull Racing1:32.311+0.329
4MER George RussellMercedes1:32.890+0.908
5AMR Fernando AlonsoAston Martin1:33.021+1.039

Gaps are each driver's best lap minus Leclerc's 1:31.982 — simple arithmetic, no model involved.

WHAT IT MEANS FOR SUNDAY

Race outlook

The model's calibrated chances per driver. A probability is not a promise.

FER LeclercMODEL
Win34%
Top 372%
MCL NorrisMODEL
Win27%
Top 364%
RBR VerstappenMODEL
Win22%
Top 358%
MER RussellMODEL
Win9%
Top 331%
AMR AlonsoMODEL
Win4%
Top 318%
All other drivers combined4% win
✓ Calibrated — how to verify this
Model: Race Forecast v2.3 · Validation sample: 1,842 driver starts · Last recalibrated: pre-weekend
Inputs: practice pace, teammate differential, grid position, tyre degradation model.
Probabilities are re-fit after every session; a probability is not a promise.
WHERE THE TIME CAME FROM

Pace analysis

Leclerc's 1:31.982 (lap 11), measured against the fastest track third anyone set all session. Bars show time gained or lost vs. the best — centered on zero.

TRACK THIRDS · DELTA VS SESSION BEST
Segment 1opening corners
28.351OBSERVED+0.041s vs best · P2DERIVED
Segment 2middle of the lap
33.912OBSERVEDsession best · P1
Segment 3to the finish line
29.719OBSERVED+0.025s vs best · P2DERIVED

Session bests: S1 28.310 (Norris) · S2 33.912 (Leclerc) · S3 29.694 (Verstappen). Leclerc's lap adds up: 28.351 + 33.912 + 29.719 = 1:31.982.

RADAR CHECKPOINTS · KM/H · % OF SESSION MAX (358)
312
CHECKPOINT 1
87% of max
326
CHECKPOINT 2
91% of max
344
FINISH LINE
96% of max
337
MAIN STRAIGHT
94% of max

344 km/h at the finish line — Monza is the fastest circuit on the calendar, and it shows.

THE CHESS MATCH

Tyres & strategy

Softer tyres are faster but die younger. This is what the rubber actually did across the stints — and what the one pit stop cost.

PACE LOST TO TYRE WEAR · SECONDS PER LAP OF TYRE AGEMODEL
00.250.50 0.751.00s 024 681012 Tyre age (laps) Soft +0.084/lap Medium +0.051/lap Hard +0.033/lap

12 comparable laps · fuel-corrected · ±0.012 s/lap. After 12 laps the soft tyre has cost roughly a full second — that's a pit stop earned.

Chronology: Stint 1 · Soft · laps 10–13 → pit stop → Stint 2 · Medium · laps 14–17.

PIT STOP · BETWEEN LAPS 13 AND 14
2.4s
STATIONARY · TYRES SWAPPEDOBSERVED
27.7s
TOTAL THROUGH PIT LANEDERIVED
+21.8s
NET LOSS VS STAYING OUTDERIVED
14:32:11.184
PIT ENTRY
stationary 2.4s
14:32:38.884
PIT EXIT

14:32:38.884 − 14:32:11.184 = 27.700s elapsed. Track position: P2 → P2 — nothing lost. Soft → medium.

WHY HE WAS FAST

Driver vs. Machine

Was it Leclerc or the Ferrari? The model splits every lap into a driver effect and a car effect, relative to a grid-adjusted expected lap.

MODEL OUTPUT
CHARLES LECLERC · FERRARI
0.0 / 100
Performance score · 92nd percentile this weekend · car-agnostic.
Driver −0.342s ±0.08 · ~40% of the edgeMODEL Car −0.518s ±0.11 · ~60% of the edgeMODEL
RELATIVE TO
Grid-adjusted expected lap
COMBINED EDGE
−0.860s
MODEL
FS Pace v1.4
AS OF
FP3 complete
Teammate gap · −0.156s vs teammate 1,284 laps evaluated 312 teammate-matched laps
White cards — observed timing data Red — model outputs
PROVE IT TO ME

Lap by lap

Leclerc's full run, grouped by stint — the raw timing feed, translated into plain English.

Swipe for sectors →
LAPTIMENOTE SEG 1 SEG 2 SEG 3 TOP KM/H TYREFLAGS
STINT 1 · SOFT
101:32.89128.51234.20430.175341SoftGreen
111:31.982Session best28.35133.91229.719344SoftGreen
121:32.65528.49034.03330.132340SoftGreen
131:45.882In lap · cooling down29.10435.41241.366302SoftGreen
PIT · 27.7s · SOFT → MEDIUM
STINT 2 · MEDIUM
141:58.730Out lap · warming up————MediumGreen
151:34.02028.74434.41030.866336MediumGreen
161:33.76428.69034.30130.773338MediumGreen
171:34.31128.81234.52230.977335MediumGreen

In lap = the slow lap into the pits · Out lap = the slow lap back out on fresh tyres — that's why lap 14 has no sector times. Lap and Time columns stay pinned while telemetry scrolls.

CONDITIONS

Weather

Hot asphalt, warm air, no rain — ideal conditions. Context, not the main event.

TRACK TEMP
38.2°C
AIR TEMP
24.6°C
HUMIDITY
41%
PRESSURE
1012 hPa
WIND
NW 14 km/h
RAINFALL
0.0 mm
HOW THIS IS BUILT

Methodology & provenance

FS Pace v1.4
DRIVER / CAR MODEL
Race Forecast v2.3
WIN PROBABILITY MODEL
1,842
VALIDATION STARTS
FastF1 / OpenF1
TIMING SOURCES

Every value on this page is rendered from one canonical session dataset — no number is typed twice. Before publishing, automated checks verify: session best equals the fastest valid lap, leaderboard gaps equal best-minus-P1, sector sums match lap times, and pit elapsed matches the timestamps. A value labeled Observed was measured; Derived was calculated; Model was estimated — and every model value carries its version.