LANGE OUTDOOR · 05 AUG 2026 · 1,015 M

Seven laps.
One second still hiding.

Phone GNSS, 100 Hz acceleration, 200 Hz rotation, pressure and an independent watch trace—resolved into a lap-by-lap coaching model, not just a collection of graphs.

Open the lap labRead the verdict
Best lap—estimated
Next-lap focus—largest repeatable loss
Directional target—one-sector experiment
Settled consistency—laps 4–7 standard deviation
Coaching confidence—1 Hz GNSS · 10 Hz IMU

THE VERDICT

What the stopwatch is actually saying

Evidence → interpretation → the next driving action.

INTERACTIVE LAP LAB

Put every metre under the cursor

Select a lap, move the scrubber, or hover any linked chart. Position, speed, delta and forces stay synchronized.

RACING LINE + LAP DELTA

Where time begins to move

GNSS ± metres
PACE TRACE

Speed and time delta by distance

GNSS speed validated
LEARNING CURVE

Lap time progression

estimated timing
SECTOR DNA

Where each lap won or lost

4 fixed gates

PHYSICS LAB

Grip, energy and rotation—without pretending assumptions are measurements

Mass-independent quantities stay measured. Mass, drag and rolling resistance remain explicit controls.

G–G ENVELOPE

Measured motion demand

phone/body proxy
MOTION TRACE

Acceleration and rotation by distance

10 Hz filtered
ASSUMPTION-AWARE MODEL

Energy & tractive-power sandbox

editable estimate
Speed-loss energy / lap—specific until assumptions unlock
Peak kinetic energy—at selected lap top speed
P95 required engine power—acceleration + rolling + aero
Grip-demand proxy—p99 phone/body horizontal g

Model: P ≈ [m·a + m·g·Crr + ½ρCdAv²]·v / η. This estimates demand at the assumed drivetrain; it does not identify engine output or kart model.

SPATIAL MODEL

The circuit, lifted into 3D

A repeatable pressure-derived shape after compensating for v² dynamic pressure, drift and lap offsets. Useful for pattern recognition; not survey elevation.

3D TRAJECTORY

Speed over experimental relative elevation

Elevation ×8
— modelled range— cross-lap repeatability9 m venue-stated climbs/fallsExperimental vertical axis

KEY COMPLEXES

Five speed minima worth revisiting

Automatically detected braking/apex regions. The spread shows where execution changed most; exact racing-line claims are constrained by GNSS accuracy.

AUDIT TRAIL

Every conclusion has a source and a confidence boundary

The original archive remains untouched. Derived outputs are reproducible from hashed inputs.

DATA QUALITY

What can be trusted

METHODS

How each layer was produced