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Not all seasons are equally demanding on the driver and the tyre. The workload heatmap aggregates four stress signals per driver per season to show who pushes hardest, runs deepest into stints, and spends the most time in compromised air. It is a portrait of racecraft load, not outright pace.

What it shows

Each driver carries four per-season signals:
  • Push residual: a thermal and mechanical load proxy from within-stint driver-skill residual drift. Higher = a more aggressive pushing style that accelerates tyre degradation.
  • Average stint age: mean lap-in-stint across eligible laps. A longer average means the driver is kept out longer a proxy for tyre management or strategic circumstance.
  • Dirty-air share: the fraction of eligible laps classified as dirty-air (gap < 1.5s in sector 2). Higher = more time in thermally loaded air behind other cars.
  • Cliff risk: the fraction of eligible laps flagged as cliff candidates by the degradation model how often the driver approaches the tyre cliff.
Only training-eligible laps are included (age in stint > 3, no safety-car or mistake laps), and drivers with fewer than 50 eligible laps in the season are excluded.

How to use it

  1. Select a season from the filter bar; the heatmap reloads.
  2. Scan a driver’s row across the four signals to read their workload fingerprint.
  3. Scan a column to rank the field on one stress dimension say, who carried the most cliff risk.
  4. Cross-reference push residual with cliff risk high on both is a driver living near the tyre limit.

Reading the signal correctly

These are exposure signals, not skill scores: a high dirty-air share often reflects grid position and car pace, not a driver choice. Read the heatmap as “what this driver’s season demanded”, and pair it with the skill ratings to separate circumstance from technique.
Push residual is a proxy derived from residual drift, not a direct telemetry measurement of throttle or load. Compare it across drivers within the same season rather than as an absolute physical quantity.

Data source

The chart queries fct_cliff_prediction_features via DuckDB-Wasm in the browser, aggregating per driver per season. The data window covers 2018–2024. For the full model definition, see the fct_cliff_prediction_features reference.