Round 19 · 2026 season
Mexico City Grand Prix
P1
HAM
Ferrari
67% to win
Finished 2nd
P2
RUS
Mercedes
16% to win
Finished 6th
P3
LEC
Ferrari
7% to win
Finished 4th
Favourite HAM (67%) finished 2nd1 of 3 podium spots calledBiggest surprise: LAW, 15th to 7th
Polymarket had VER at 15%, the model 2%
Result vs prediction
Predicted is our order before the race. Actual is where they finished. PodiumPoints
| Predicted | Driver | Actual | vs prediction | |
|---|---|---|---|---|
| P1 | HAMFerrari | P2 | 1 place lower | |
| P2 | RUSMercedes | P6 | 4 places lower | |
| P3 | LECFerrari | P4 | 1 place lower | |
| P4 | NORMcLaren | P5 | 1 place lower | |
| P5 | HADRed Bull | P9 | 4 places lower | |
| P6 | VERRed Bull | P1 | 5 places higher | |
| P7 | ANTMercedes | P3 | 4 places higher | |
| P8 | GASAlpine F1 Team | P17 | 9 places lower | |
| P9 | LINRB F1 Team | DNF | ||
| P10 | HULAudi | P14 | 4 places lower | |
| P11 | PIAMcLaren | P13 | 2 places lower | |
| P12 | BORAudi | P8 | 4 places higher | |
| P13 | COLAlpine F1 Team | P15 | 2 places lower | |
| P14 | BEAHaas F1 Team | DNF | ||
| P15 | LAWRB F1 Team | P7 | 8 places higher | |
| P16 | SAIWilliams | P12 | 4 places higher | |
| P17 | HIRHaas F1 Team | P10 | 7 places higher | |
| P18 | ALOAston Martin | DNF | ||
| P19 | ALBWilliams | P11 | 8 places higher | |
| P20 | STRAston Martin | DNF | ||
| P21 | PERCadillac F1 Team | P16 | 5 places higher | |
| P22 | BOTCadillac F1 Team | DNF |
Chances
WinPodium
Full field
| Pred | Driver | Grid | Win | Podium | Points | DNF | |
|---|---|---|---|---|---|---|---|
| 1 | HAM | 1 | 66.9 | 93.4 | 94.4 | 5.8 | |
| 2 | RUS | 2 | 15.8 | 75.2 | 93.7 | 6.4 | |
| 3 | LEC | 3 | 7.2 | 49.8 | 93.7 | 6.5 | |
| 4 | NOR | 6+2 | 3.5 | 27.3 | 90.1 | 9.8 | |
| 5 | HAD | 7+2 | 2.1 | 16.8 | 89.8 | 9.8 | |
| 6 | VER | 5-1 | 1.9 | 15.7 | 90.2 | 9.4 | |
| 7 | ANT | 4-3 | 1.9 | 15.2 | 93.0 | 6.7 | |
| 8 | GAS | 9+1 | 0.2 | 1.4 | 64.1 | 11.2 | |
| 9 | LIN | 8-1 | 0.2 | 1.3 | 60.9 | 11.0 | |
| 10 | HUL | 10 | 0.1 | 1.1 | 51.8 | 12.0 | |
| 11 | PIA | 12+1 | 0.1 | 0.9 | 48.8 | 14.7 | |
| 12 | BOR | 13+1 | 0.0 | 0.6 | 37.9 | 13.5 | |
| 13 | COL | 11-2 | 0.0 | 0.5 | 34.9 | 12.8 | |
| 14 | BEA | 14 | 0.0 | 0.2 | 11.1 | 15.7 | |
| 15 | LAW | 22+7 | 0.0 | 0.1 | 8.8 | 25.1 | |
| 16 | SAI | 15-1 | 0.0 | 0.1 | 8.7 | 18.1 | |
| 17 | HIR | 18+1 | 0.0 | 0.1 | 7.2 | 20.5 | |
| 18 | ALO | 17-1 | 0.0 | 0.1 | 6.2 | 28.7 | |
| 19 | ALB | 16-3 | 0.0 | 0.1 | 6.4 | 17.8 | |
| 20 | STR | 19-1 | 0.0 | 0.1 | 4.8 | 35.2 | |
| 21 | PER | 20-1 | 0.0 | 0.0 | 2.5 | 30.5 | |
| 22 | BOT | 21-1 | 0.0 | 0.0 | 0.9 | 31.3 |
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.