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MotoGP · 2026

The 2026 Predictions Board

RaceIQ MotoGP forecasts every round of the premier class of motorcycle Grand Prix racing — both the Saturday sprint and the Sunday Grand Prix — and projects the rider and manufacturer title fights to the end of the season. It’s built on the same MotorsportVerse core that powers RaceIQ F1, tuned for what makes MotoGP different.

How it works

Live data → Model → Forecast

MotoGP results

Sprint and Grand Prix finishing orders, grids and championship standings ingested after every round.

The model

A rider-form model — qualifying position, recent form and head-to-head history carry the signal. It re-trains as the season unfolds, then weighs every rider in the field.

Race forecast

Probabilities for win, podium, top six and top ten — for both the Saturday sprint and the Sunday Grand Prix.

Rider form is the strongest signal

MotoGP fields a deep grid of world-class riders on machinery from five manufacturers — Ducati, Aprilia, KTM, Yamaha and Honda. The forecast leans hardest on a rider’s own recent form, qualifying position and head-to-head record, then reads it against the field, so the numbers follow who is actually fast right now rather than a name or a badge.

Two races a weekend, one grid

Each round runs a shorter Saturday sprint and the full Sunday Grand Prix, and both line up off the same qualifying grid — there is no reverse grid in MotoGP. RaceIQ models the two races separately, because half distance and full distance reward different things, and the sprint’s smaller points haul shifts the risk each rider is willing to take.

What the numbers mean

For each race you get a win and podium probability per rider, an expected finishing range rather than a single guess, and a confidence read. For the season, the championship view shows each rider’s title odds and projected points — and who is still mathematically alive for the crown — alongside the manufacturer standings.

Honest about accuracy

Every forecast is made using only what was known before the round — no peeking at the result — and scored against what actually happened on the accuracy dashboard. Probability calibration stays switched off until enough real-feed rounds are banked, so the site never claims precision it hasn’t earned.

How to use this site

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Part of MotorsportVerse

RaceIQ MotoGP is one project in the MotorsportVerse ecosystem — a shared, open-source core for forecasting any racing series. The same machinery runs RaceIQ F1; MotoGP adds only what the championship genuinely needs.

Disclaimer

This site is a personal project published for educational and entertainment purposes. Forecasts are model outputs and should not be used for betting or any form of gambling. The project is not affiliated with, endorsed by, or connected to MotoGP, Dorna, the FIM, or any team.