What it shows
Each sector carries its own decomposition:- Pace delta: the driver’s average sector time minus the rolling 7-lap field median sector time for that sector and lap number.
- Skill residual: the portion of the pace delta not explained by the physics components (fuel, tyres, ambient, constructor, dirty air) the driving contribution within that sector.
- Total explained: the sum of the six physics components allocated to the sector. A large value means external factors, not driving style, dominated the delta.
- Consistency: the within-race standard deviation of the skill residual for that driver–sector pair. Lower = more repeatable.
sector_time / lap_time as the weight, which preserves the sector sum = lap total identity.
Because allocation is proportional, the three sectors’ components add back up to the full-lap decomposition you can read a sector in isolation without breaking the identity.
How to use it
- Select a race and driver from the filter bar; the three sector decompositions load.
- Compare skill residual across sectors to find where the driver genuinely gains or loses.
- Check total explained a big delta with a big explained component is the car or conditions, not the driver.
- Read consistency to separate a one-off fast sector from a repeatable strength.
Reading the signal correctly
Sector time is a coarse proxy for “where on track” a sector can contain several corner types, so a strong sector-two residual localises but does not pinpoint the gain. The allocation is proportional, which assumes physics effects scale with time share; this holds well on average but blurs corner-specific effects.Data source
The chart queriesint_sector_residual_decomposed via DuckDB-Wasm in the browser, for a single race.
This is a single-race view across 2018–2024 data.
For the full model definition, see the
int_sector_residual_decomposed reference.