RAKEF1 · 2026
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Dutch Grand Prix

Zandvoort · Round 12
21 Aug 2026 · Sprint format
5 of 5 sessions with a published run
BOT77CadillacCadillacno CdAClA publishedNOR1McLarenMcLarenCdA publishedClA publishedPIA81McLarenMcLarenno CdAClA publishedHUL27AudiAudino CdAClA publishedTSU22Racing BullsRacing BullsCdA publishedClA publishedSTR18Aston MartinAston Martinno CdAClA publishedRUS63MercedesMercedesCdA publishedClA publishedLAW30Red BullRed Bull RacingCdA publishedClA publishedLIN41Racing BullsRacing Bullsno CdAClA publishedSAI55WilliamsWilliamsno CdAClA published
VER3Red BullRed Bull Racingno CdAClA published
PER11CadillacCadillacno CdAClA publishedALO14Aston MartinAston Martinno CdAClA publishedALB23WilliamsWilliamsno CdAClA publishedCOL43AlpineAlpineno CdAClA publishedLEC16FerrariFerrarino CdAClA publishedBOR5AudiAudino CdAClA publishedGAS10AlpineAlpineno CdAClA publishedANT12MercedesMercedesno CdAClA publishedOCO31HaasHaas F1 Teamno CdAClA publishedHAM44FerrariFerrarino CdAClA publishedBEA87HaasHaas F1 Teamno CdAClA published

CIRCUIT

DETECTION - 10m before T13ACTIVATION - 45m after T1420m after T14 - ZONE A1 -- ZONE A1 - 80m after T1450m after T10 - ZONE A2 -- ZONE A2 - 120m after T10S1S2OT DOT ASM A1SM A21234567891011121314FINISH LINE
track axis 4.243 km14 cornersS1 1.483 kmS2 1.452 kmS3 1.324 km
sectors S1·S2·S3overtake (detection → activation)straight modenormal grip activationlow grip activationFIA circuit map + geometría 2021 (circuit key 55)

VALUES PER SESSION

BOT
ses.wndusefulCdA (m²)lohiClA (m²)lohi
FP111126———6.075.007.15
SQ267———5.044.175.92
S11030———5.924.936.91
Q81———7.106.208.00
R31487———5.814.826.80
event569151———6.085.037.13

A window is a stretch of lap flat enough to measure, and only the useful ones enter the drag fit. In green, the sessions that clear the floor of 30 useful windows — the first CdA gate, not the only one, so a green session can still fail on its band or its flatness; in grey, the ones that fall short. Load (ClA) is fitted from corner samples and gated separately, so a grey session can still publish its ClA. The last row is the whole event: one fit over every window of the weekend, which is how a driver can have a published CdA while no single session publishes one.

BOT

Cadillac
Load (ClA)5.81m²4.82–6.80 m²Session 11353 fit
Drag (CdA)—Not publishable · 151 of 569 useful windows

CHARTS

driver BOT

LOAD AGAINST SPEED

How much downward force the air generates on the car at each speed. The higher the curve, the harder it is pinned to the floor through fast corners. The dashed line is the car’s weight: where the curve crosses it, the air is already pushing it down harder than it weighs.

x axis speed [km/h] · y axis force [kN]——— load with ClA 5.81 m²- - - car weight 8.22 kNload = weight at 173 km/h

DRAG AGAINST SPEED

How much the air slows it down at each speed. This is the force the engine has to overcome on a straight, and it grows with the square of speed: at 300 km/h it costs four times what it costs at 150.

No publishable drag (CdA) for BOT at any scope, so there is no curve to draw.

ClA ESTIMATED PER SESSION

How the aerodynamic load changed over the course of the weekend. Each point is one session’s estimate and the grey band is that fit’s margin of error. If it rises, the team added load; if it drops, they took it away.

FP1SQSQR
x axis session · y axis ClA [m²] · grey band fit margin

CdA ESTIMATED PER SESSION

How air resistance changed from session to session. Lowering CdA buys straight-line speed; raising it is usually the price of carrying more load for the corners.

None of BOT’s 5 sessions publishes its drag (CdA) on its own: each session is judged against its own gates —at least 30 useful windows and a flatness gate (flatness_gate)— and none of them passes. If the card above shows a drag, that one is the event aggregate: a single fit over the windows of the 5 sessions together, not a per-session series.