Driver Intelligence — 2026 Season
DNA profiles computed from FP and race data. More rounds = higher confidence. Dimensions are normalised 0–10 across the field.
Teammate Edge
car · -0.8 kph vs field
Tyre Management
car · -12.0 kph vs field
Overtake
car · +1.9 kph vs field
Teammate Edge
car · +0.9 kph vs field
Overtake
car · -4.0 kph vs field
Consistency
car · -3.9 kph vs field
Quali Ceiling
car · +1.2 kph vs field
Teammate Edge
car · +1.2 kph vs field
Quali Ceiling
car · +0.7 kph vs field
Teammate Edge
car · +0.0 kph vs field
Overtake
car · -4.0 kph vs field
Deg Resistance
car · -0.9 kph vs field
Race Start
car · +0.0 kph vs field
Quali Ceiling
car · -0.9 kph vs field
Race Start
car · +0.0 kph vs field
Deg Resistance
car · +0.9 kph vs field
Deg Resistance
car · -3.9 kph vs field
Race Start
car · +0.0 kph vs field
Deg Resistance
car · +1.9 kph vs field
Tyre Management
car · -0.8 kph vs field
Deg Resistance
car · -12.0 kph vs field
Quali Ceiling
3 rounds
Overtake
car · +0.7 kph vs field
Season Driver Rankings
Composite score across DNA dimensions weighted by confidence. Uncertainty bands reflect data confidence per dimension.
| # | Driver | Score | Rounds |
|---|---|---|---|
| 1 | VER | 6.86.6–7.0 | 17 rounds |
| 2 | HAD | 6.76.5–6.9 | 17 rounds |
| 3 | LIN | 6.56.3–6.7 | 17 rounds |
| 4 | NOR | 6.26.0–6.4 | 17 rounds |
| 5 | ALB | 5.85.6–6.0 | 17 rounds |
| 6 | GAS | 5.75.5–5.9 | 17 rounds |
| 7 | HAM | 5.65.3–5.8 | 17 rounds |
| 8 | LAW | 5.45.2–5.7 | 17 rounds |
| 9 | COL | 5.35.0–5.5 | 17 rounds |
| 10 | PIA | 5.25.0–5.4 | 17 rounds |
| 11 | BEA | 5.14.9–5.3 | 17 rounds |
| 12 | SAI | 5.04.8–5.3 | 17 rounds |
| 13 | ANT | 5.04.8–5.2 | 17 rounds |
| 14 | HUL | 5.04.8–5.2 | 17 rounds |
| 15 | RUS | 4.34.1–4.5 | 17 rounds |
| 16 | STR | 4.34.1–4.5 | 17 rounds |
| 17 | LEC | 4.24.0–4.5 | 17 rounds |
| 18 | PER | 4.24.0–4.4 | 17 rounds |
| 19 | BOR | 4.03.8–4.2 | 17 rounds |
| 20 | ALO | 3.83.6–4.1 | 17 rounds |
| 21 | BOT | 3.83.6–4.0 | 17 rounds |
| 22 | OCO | 3.23.0–3.4 | 17 rounds |
| 23 | TSU | 2.72.4–3.0 | 17 rounds |
Rankings measure driver style and consistency. Toggle Car-Adjusted to remove car speed from qualifying scores.
Model Accuracy
How accurately the model predicted each driver's finishing position across 17 scored rounds. Green = model over-predicted (driver finished better than expected), red = under-predicted.
| Driver | Count | Within 2 | Avg Δ | Bias | Season Δ |
|---|---|---|---|---|---|
| NOR | 13 | 84.6% | -0.08 | neutral | |
| ALB | 12 | 75.0% | +0.33 | neutral | |
| STR | 7 | 71.4% | -2.43 | over | |
| HUL | 12 | 66.7% | +0.50 | neutral | |
| TSU | 3 | 66.7% | -1.33 | over | |
| HAD | 11 | 63.6% | -1.18 | over | |
| COL | 16 | 56.2% | -0.62 | over | |
| OCO | 16 | 56.2% | -1.81 | over | |
| ANT | 15 | 53.3% | -1.47 | over | |
| LEC | 15 | 53.3% | +0.20 | neutral | |
| HAM | 17 | 52.9% | -0.29 | neutral | |
| PIA | 12 | 41.7% | -0.75 | over | |
| VER | 12 | 41.7% | -1.25 | over | |
| BOT | 10 | 40.0% | -2.00 | over | |
| RUS | 13 | 38.5% | -4.77 | over | |
| GAS | 16 | 37.5% | -0.50 | neutral | |
| BEA | 12 | 33.3% | -1.92 | over | |
| SAI | 15 | 33.3% | +0.20 | neutral | |
| ALO | 10 | 30.0% | -3.70 | over | |
| LAW | 15 | 26.7% | -1.33 | over | |
| LIN | 16 | 25.0% | -0.06 | neutral | |
| BOR | 13 | 23.1% | -1.15 | over | |
| PER | 12 | 16.7% | -4.33 | over |