We show
our work.
Most predictions tell you what. We show you why — the data behind every pick, the confidence level, and whether it held up. Accuracy is public, unedited, and scored against official results.
Five prediction types, every race weekend.
Predicted winner, full podium, top-10 order, fastest lap candidate, and key swing factors. Generated after qualifying sets the grid — so the model knows the starting positions.
Pole prediction, front-row probability, and drivers likely to over- or underperform their car's pace. Published before Q1 begins.
Teammate battles and cross-team comparisons — who has the edge in qualifying trim, who holds the race pace advantage, and where the gap is closest.
Separate top-8 forecast for sprint weekends. Shorter distance means less strategy variance, so the model weights raw pace and grid position more heavily.
Predicted sprint qualifying order. One-lap pressure with minimal practice — the model factors in circuit character and each driver's single-lap form.
Inside F1 Predictions AI.
F1 Predictions AI is not a lookup table or a points projection. It reads session data, circuit history, and current form, then reasons through the evidence to produce a structured forecast with a confidence score you can challenge.
After each session, finishing positions, lap times, grid slots, fastest laps, and weather conditions are pulled from live timing feeds. The model works from the same numbers a pitwall strategist sees.
Circuit history, championship standings, recent form, and weather data are layered in. A street circuit weekend produces a fundamentally different prediction to a power track.
F1 Predictions AI identifies the likely outcome, flags upset candidates, and writes the reasoning behind every pick. You can read the full logic chain — not just the result.
Once published, predictions cannot be edited — enforced at the database level. When the session starts, what was written is what gets scored.
The scoreboard is public. Always.
Every prediction is scored against official FIA results, race by race. Accuracy numbers are public and unedited — same scoreboard for everyone, no cherry-picking.
The predicted race winner must finish P1. No partial credit, no "close enough". Either the winner was called correctly or it wasn't.
An overall accuracy score of 0.6 or higher across the top-3 positions. The scoring weights position accuracy, not just presence — P1 correct counts for more than P3.
Accuracy is calculated after the official race classification is confirmed. Retirements and post-race penalties are reflected in the final score.
We do not retroactively edit predictions after results are known. We do not skip scoring a race because the model performed poorly. Every round is on the board.
What F1 Predictions AI cannot do.
F1 has too many variables for any model to get right every time. F1 Predictions AI works from available evidence — here is what falls outside that scope.
Mechanical failures — a car leading by 20 seconds is still a DNF risk. Reliability data is internal to teams and invisible to any external model.
First-lap incidents — grid position matters, but contact at Turn 1 is not foreseeable from timing data.
Safety car timing — the model estimates SC probability from circuit history, but not which lap it falls on. Lap timing often decides the race.
Mid-race weather shifts — forecast data has uncertainty. Predictions made under a changing sky are the model's weakest area.
Team orders — a driver told to hold position will look slower than their actual pace. The model cannot see team radio.
Winner picks, podium forecasts, and full reasoning for every session.