Read the telemetry.
Model the tyre.
Call the race.

Built on

• FastF1

  Session & telemetry source

• XGBoost

  Lap time · degradation

• SHAP

  Attribution

• FastAPI

  Typed REST surface

• PostgreSQL

  Processed laps

• Next.js

  This interface

The pipeline

Four steps between a raw session and a decision you can defend.

1. 01

   Ingest

   A whole session at once — laps, telemetry channels, weather, tyre stints — cleaned of in-laps, out-laps and anything the timing loop got wrong.

2. 02

   Model

   Lap time and per-compound degradation, with fuel burn corrected out and dirty air priced per driver, so pace means pace.

3. 03

   Decide

   Strategy solved as a duel: two coupled cars, every pit-wall reflex answered at its best, weighed across every lap a caution could land on.

4. 04

   Render

   The call, the margin it wins by, and the SHAP attribution behind it — in whichever of the three lenses you are reading in.

Open source · lapbox 0.1.0

import fastf1
from lapbox.telemetry import compare, delta_time

session = fastf1.get_session(2025, "Silverstone", "Q")
session.load()
ver = session.laps.pick_drivers("VER").pick_fastest().get_telemetry()
nor = session.laps.pick_drivers("NOR").pick_fastest().get_telemetry()

result = compare(ver, nor, driver_a="VER", driver_b="NOR")
if result.matched:
    print(f"VER ahead by {delta_time(result.aligned).iloc[-1]:+.3f} s at the line")
    gain = result.segments.loc[result.segments["time_delta"].idxmax()]
    print(f"VER gains most from {gain.start_distance:.0f} to {gain.end_distance:.0f} m: {gain.time_delta:+.3f} s")
else:
    print(f"Can't compare: laps differ by {result.residual:.0f} km/h RMS after alignment")

VER ahead by +0.118 s at the line
VER gains most from 2957 to 4765 m: +0.202 s

• lapbox.telemetryOne lap on its own, and two laps matched by track position.
• lapbox.dataTime conversion, laps, weather, pit stops, stints and gaps.
• lapbox.practiceRuns, qualifying simulations and long-run pace.
• lapbox.paceLap cleaning, a circuit’s representative pace, fuel-corrected pace, clean air, consistency and the ideal lap.
• lapbox.tyresPer-compound degradation, and degradation stint by stint.
• lapbox.plotPlotly figures for lapbox’s results: the optional plot extra.