F1 race intelligence · 2026 season

Call the race before lights out.

Machine-learning predictions for every Grand Prix: the full finishing order, win and podium odds, and an honest record of how often it's right.

Now showing Red Bull Racing1 / 4
Prediction

The race, called in advance

Next race Round

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Predicted winner
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Predicted podiumDrag to orbit
Full grid

Predicted finishing order

Every driver, ranked by the model, with their chance of winning and of finishing on the podium.

Win chancePodium chance
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Every driver, rated

Each card turns a driver's season into six ratings from 40 to 99, built from the same race results the model learns from. Open a card to see where the numbers come from.

How the ratings work
QUA
Qualifying: average qualifying position.
PAC
Pace: average finishing position in races the driver finished.
RAC
Racecraft: places gained or kept from the grid, as a share of what was possible.
CON
Consistency: how often the driver finishes, and how little the results jump around.
FRM
Form: points per race over the last five Grands Prix.
H2H
Vs teammate: share of qualifying and race head-to-heads won against the driver in the same car.

Each stat is rescaled so the best driver on the grid gets about 97 and the slowest about 40. The overall rating weights pace and qualifying highest. Because two stats compare drivers with their teammates, a great driver in a slow car still rates well. Gold is 80 and up, silver 70 to 79, bronze below 70. Drivers with fewer than three starts this season have no card.

Championship

Teams & standings

Live championship tables, every Grand Prix finish this season, and each team's car in the garage.

1Win3Podium8Points14No pointsRRetired

GarageDrag to orbit
Track record

2026 scorecard

Each race was predicted using only data from before it, and compared with the simplest rule: the driver on pole wins.

Accuracy lab

How accurate is it?

Back-tested race by race over three seasons. The baseline predicts that drivers finish in starting-grid order.

Model vs grid order

ModelGrid order

Can you trust the percentages?

Drivers grouped by predicted win chance. Dots near the dashed line mean the odds are honest.

What drives the prediction

Share of the ranking model's decisions explained by each input.

Method

How it works

A four-stage pipeline that reruns by itself after every practice session, qualifying and race.

01 · Collect

Every result since 2018

Race and qualifying results for every Grand Prix from the Jolpica F1 database, plus practice lap times from OpenF1.

02 · Engineer

20 signals per driver

Grid slot, gap to pole, recent form, team pace, retirement rate, track history and championship standing.

03 · Train

Ranking + odds

A LightGBM ranking model sets the order. Logistic models give win and podium odds. Recent seasons weigh more.

04 · Test

No peeking

Every past race is predicted using only earlier races, then scored against the grid-order baseline.

Read the odds, not just the order. Crashes, safety cars, rain and strategy make F1 noisy. A 30% favourite loses most of the time. Before qualifying, the grid is estimated from practice lap times (or from team form before the first practice), so predictions sharpen once the real grid is set.

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