What it shows
Each line is one driver’s season-by-season rating:- Era-adjusted rating: the per-season skill residual after the regulation offset is applied. Negative = faster than the era-normalised field average.
- Bayesian shrinkage: per-season residuals are shrunk toward the season league average. Drivers with fewer races have wider intervals and estimates pulled closer to zero the uncertainty is honest, not hidden.
- Era calibration: the 2022 offset is estimated from 20 “bridge drivers” with ≥8 clean-race seasons on both sides of the boundary, then applied to all pre-2022 seasons. Bridge drivers render as solid lines; non-bridge drivers as dashed.
- 95% CI ribbon: propagates both the per-season shrinkage standard error and, for pre-2022 seasons, the era-offset estimation uncertainty.
Dashed (non-bridge) lines before 2022 lean more on the estimated era offset than on the driver’s own cross-era racing, so their absolute level is less certain than a solid line’s.
How to use it
- Select drivers to add or remove their career lines.
- Read line style solid lines are anchored by cross-era racing; dashed lines inherit more offset uncertainty.
- Compare ribbon overlap between two drivers in the same season: overlapping ribbons mean the gap is within noise.
- Follow a single arc across seasons to see development, peak, and decline on one continuous scale.
Reading the signal correctly
The rating is a relative measure it places a driver against the era-normalised field, not on an absolute lap-time scale. A flat line across a regulation boundary is the goal of the era correction, not evidence the driver stood still.Data source
The chart queriesint_era_normalized_driver_rating (built on int_driver_season_ratings) via DuckDB-Wasm in the browser; the clean-lap filter is applied upstream.
The data window covers 2018–2024.
For the full model definitions, see the
int_era_normalized_driver_rating reference and the int_driver_season_ratings reference.