Round 4 · 2026 season
Miami Grand Prix
P1
ANT
Mercedes
65% to win
Finished 1st
P2
VER
Red Bull Racing
14% to win
Finished 5th
P3
LEC
Ferrari
14% to win
Finished 8th
ANT won as favourite at 65%1 of 3 podium spots calledBiggest surprise: BOR, 21st to 12th
Polymarket had ANT at 34%, the model 65%
Result vs prediction
Predicted is our order before the race. Actual is where they finished. PodiumPoints
| Predicted | Driver | Actual | vs prediction | |
|---|---|---|---|---|
| P1 | ANTMercedes | P1 | ✓ exact | |
| P2 | VERRed Bull Racing | P5 | 3 places lower | |
| P3 | LECFerrari | P8 | 5 places lower | |
| P4 | NORMcLaren | P2 | 2 places higher | |
| P5 | RUSMercedes | P4 | 1 place higher | |
| P6 | HAMFerrari | P6 | ✓ exact | |
| P7 | PIAMcLaren | P3 | 4 places higher | |
| P8 | GASAlpine | DNF | ||
| P9 | HADRed Bull Racing | DNF | ||
| P10 | COLAlpine | P7 | 3 places higher | |
| P11 | HULAudi | DNF | ||
| P12 | LAWRacing Bulls | DNF | ||
| P13 | BEAHaas F1 Team | P11 | 2 places higher | |
| P14 | SAIWilliams | P9 | 5 places higher | |
| P15 | ALBWilliams | P10 | 5 places higher | |
| P16 | OCOHaas F1 Team | P13 | 3 places higher | |
| P17 | LINRacing Bulls | P14 | 3 places higher | |
| P18 | STRAston Martin | P17 | 1 place higher | |
| P19 | BOTCadillac | P18 | 1 place higher | |
| P20 | ALOAston Martin | P15 | 5 places higher | |
| P21 | BORAudi | P12 | 9 places higher | |
| P22 | PERCadillac | P16 | 6 places higher |
Chances
WinPodium
Full field
| Pred | Driver | Grid | Win | Podium | Points | DNF | |
|---|---|---|---|---|---|---|---|
| 1 | ANT | 1 | 64.6 | 94.6 | 95.8 | 4.3 | |
| 2 | VER | 2 | 13.6 | 69.1 | 88.1 | 12.1 | |
| 3 | LEC | 3 | 14.1 | 73.4 | 94.7 | 5.4 | |
| 4 | NOR | 4 | 3.2 | 25.5 | 93.2 | 6.8 | |
| 5 | RUS | 5 | 1.9 | 15.5 | 92.7 | 7.0 | |
| 6 | HAM | 6 | 1.3 | 10.7 | 92.5 | 7.1 | |
| 7 | PIA | 7 | 0.6 | 5.0 | 89.2 | 7.6 | |
| 8 | GAS | 9+1 | 0.2 | 1.7 | 72.2 | 7.8 | |
| 9 | HAD | 22+13 | 0.1 | 0.7 | 39.0 | 29.0 | |
| 10 | COL | 8-2 | 0.1 | 0.7 | 40.2 | 7.4 | |
| 11 | HUL | 10-1 | 0.1 | 0.6 | 37.7 | 8.5 | |
| 12 | LAW | 11-1 | 0.0 | 0.6 | 34.6 | 8.2 | |
| 13 | BEA | 12-1 | 0.0 | 0.5 | 31.6 | 11.0 | |
| 14 | SAI | 13-1 | 0.0 | 0.3 | 24.4 | 9.3 | |
| 15 | ALB | 15 | 0.0 | 0.4 | 20.8 | 8.9 | |
| 16 | OCO | 14-2 | 0.0 | 0.2 | 15.7 | 15.6 | |
| 17 | LIN | 16-1 | 0.0 | 0.1 | 9.7 | 15.1 | |
| 18 | STR | 18 | 0.0 | 0.1 | 5.6 | 46.4 | |
| 19 | BOT | 19 | 0.0 | 0.1 | 7.3 | 15.4 | |
| 20 | ALO | 17-3 | 0.0 | 0.1 | 4.3 | 48.3 | |
| 21 | BOR | 21 | 0.0 | 0.1 | 6.8 | 12.7 | |
| 22 | PER | 20-2 | 0.0 | 0.1 | 3.9 | 21.5 |
The predicted order sits close to the starting grid, and that is expected. This model has not been shown to beat "everyone finishes where they start". The percentages are what it adds: checked against past races, they come out about right on average.
Grid penalties are only included if they were entered by hand. They are never in the timing data this is built from.