Who Will Win Stars League?
2,000 season simulations · 132 remaining fixtures
We simulate the rest of the Stars League 2026/27 season thousands of times using our AI's match probabilities. Here's every team's chance of the title, a top-4 finish and a bottom-3 finish — updated after every round.
The headline calls
Al Sadd wins Stars League in 88.2% of 2,000 season simulations.
Al-Rayyan SC — 10.4% title chance.
Al-Sailiya goes down in 97.4% of simulations.
| # | Team | Pl | Pts | Title | Top 4 | Bottom 3 | Proj. Pts |
|---|---|---|---|---|---|---|---|
| 1 | 4 | 12 | 88.2% | 100% | <0.1% | 54 | |
| 2 | 4 | 10 | 10.4% | 98.2% | <0.1% | 46 | |
| 3 | 4 | 8 | 1.3% | 85% | 0.1% | 40 | |
| 4 | 3 | 5 | 0.1% | 45.7% | 0.6% | 35 | |
| 5 | 3 | 5 | 0.1% | 44.9% | 0.7% | 35 | |
| 6 | 4 | 5 | <0.1% | 17.5% | 2.9% | 31 | |
| 7 | 3 | 3 | <0.1% | 4.8% | 13.3% | 27 | |
| 8 | 4 | 4 | <0.1% | 1.7% | 23% | 25 | |
| 9 | 4 | 4 | <0.1% | 2.2% | 22.5% | 25 | |
| 10 | 4 | 2 | <0.1% | 0.1% | 72.8% | 19 | |
| 11 | 3 | 1 | <0.1% | 0.1% | 67% | 19 | |
| 12 | 4 | 0 | <0.1% | <0.1% | 97.4% | 12 |
Next Stars League fixtures — with AI predictions
- Al Shahaniya – Lusail CityThu, Oct 8AI prediction →
- Al Sadd – Al-Arabi SCThu, Oct 8AI prediction →
- Al Ahli Doha – Al-SailiyaThu, Oct 8AI prediction →
- Al Wakrah – Al-GharafaThu, Oct 8AI prediction →
- Qatar SC – Al-Rayyan SCThu, Oct 8AI prediction →
- Al Shamal – Al-Duhail SCThu, Oct 8AI prediction →
Methodology
Every remaining Stars League fixture is simulated 2,000 times with Betora's AI strength model, built from the live table, form and Elo ratings. The probabilities re-run automatically after every round.
Journalists and bloggers: you are welcome to cite or republish these numbers with a link to this page as the source.
Title race FAQ
Who will win Stars League in 2026/27?
Al Sadd wins Stars League in 88.2% of our AI's season simulations — the current favourite. The probability table above shows every team's chances, updated after every round.
How are the title probabilities calculated?
We simulate every remaining fixture thousands of times using strength ratings built from the live table and form, then count how often each team finishes first, top 4 or bottom 3.
How often are the probabilities updated?
After every round — results change the table, the table changes the ratings, and the simulation re-runs automatically.