Pole to Paddock builds its own statistical models on top of publicly available F1 race data going back to 1950. Every metric — grades, rankings, projections — is computed from first principles and updated after each race weekend. Nothing here is copied from official F1 sources or other sites.
We evaluate drivers across six dimensions: Pace (35%), Racecraft (20%), Qualifying (20%), Tire Management (10%), Discipline (10%), and Consistency (5%). Each grade is teammate-adjusted — we isolate driver performance from the car by comparing teammates in the same machinery. Scores are z-score normalized across the field and update after every race weekend. Per-race breakdowns show how a driver's performance evolves across the season, and momentum indicators highlight current form trends. Grades draw on lap time telemetry, qualifying deltas, tire degradation rates, and FIA steward decisions.
View Driver Grades →Constructor grades measure team-controlled factors independent of driver talent across five dimensions: Car Pace (30%), Strategy (25%), Reliability (20%), Development (15%), and Pit Stops (10%). Car Pace blends race pace percentile, qualifying position, and speed trap data from OpenF1. Strategy combines expected points (xP) delta with position changes through safety car periods, filtering out mechanical retirements. Reliability cross-references Jolpica results and OpenF1 session data to classify DNFs as mechanical vs driver-caused. Development uses regression analysis on pace trends with early-season dampening via sigmoid weighting. Pit Stops measures crew execution via stationary time and lap-to-lap consistency. The system deliberately excludes driver talent so the grade answers one question: “how well is this team being run?”
View Constructor Grades →Our Elo system adapts the pairwise rating approach — originally designed for chess — to multi-competitor races covering every Formula 1 season from 1950 to present (75+ years, 1,000+ races). Every race, each driver is compared against every other finisher, with ratings adjusted based on expected vs actual finishing order. We era-normalize so performances from the 1960s are comparable to the 2020s. Sustained Greatness blends peak rating with consistency across a driver's best seasons, rewarding longevity at the top rather than a single exceptional year.
View Driver Rankings →We run tens of thousands of race simulations for the remaining calendar using a 19-factor Monte Carlo engine. Inputs include driver and team base pace, circuit-specific performance history, qualifying pace deltas from telemetry, engine performance mapping by power unit, reliability rates, and recent form momentum. The result is a probability distribution for every championship outcome — not a prediction of who will win, but how likely each scenario is given current data. Probabilities update after every race as new results narrow the range of possible outcomes.
View Projections →PAR measures how many more championship points a driver scores compared to a replacement-level driver in the same car. We define replacement level as a driver who captures 25% of their team's total points per seat — derived from the 20th percentile of 236 team-seasons from 2000 to 2025. PAR is computed per-round and per-team, so mid-season driver swaps are handled correctly — each stint is evaluated against that team's output during the same rounds. PAR accumulates over the season like baseball's WAR: more races means more opportunity to add or lose value. A PAR of zero means the driver is performing exactly at replacement level for their machinery.
View PAR Leaderboard →The Team Principal game uses real 2026 driver ratings, team budgets, and car performance data as its foundation. Driver development, contract negotiations, and race simulations are all grounded in the same statistical models that power our championship projections. Career mode spans five seasons with compounding decisions that reflect how real F1 teams are built over time.
Play Team Principal →All data on Pole to Paddock is sourced from publicly available F1 records and official timing feeds. We do not scrape or reproduce proprietary F1 content.
Race data is ingested into a Turso (LibSQL) database after each race weekend and processed by our statistical pipeline before being published on the site. Computed outputs like grades and championship projections are cached and served from Cloudflare R2.
Pole to Paddock is an independent site not affiliated with Formula 1, the FIA, or any constructor or driver. All ratings and grades are our own analysis. We publish our methodology openly so readers can evaluate our approach. If you spot an error or have a question about how a metric is calculated, reach out at hello@poletopaddock.com.
