League overview
Super League predictions
Calibrated model probabilities for the Super League fixtures we currently model. We track 6 upcoming matches.
- 6Upcoming predictions
- 12Teams modelled
- 63.9%Model avg Over 2.5
- 63.4%Model avg BTTS
Upcoming Super League predictions
GrasshoppersGRAVaduzVAD
- Home win
- 42.7%
- Draw
- 24.7%
- Away win
- 32.6%
St. GallenSTGServetteSER
- Home win
- 38.6%
- Draw
- 25.3%
- Away win
- 36.1%
LuzernLUZSionSIO
- Home win
- 33.3%
- Draw
- 23.7%
- Away win
- 43.1%
Young BoysYOUZurichZUR
- Home win
- 65.5%
- Draw
- 17.5%
- Away win
- 17.0%
LausanneLAUThunTHU
- Home win
- 33.1%
- Draw
- 24.2%
- Away win
- 42.7%
LuganoLUGBaselBAS
- Home win
- 62.8%
- Draw
- 20.9%
- Away win
- 16.3%
Super League score predictions
The most likely correct score in each match. Even the leading scoreline usually has a low probability.
Super League fixtures
Linked matches have a full prediction page. Schedule from our fixture feed, refreshed daily; kickoff times can move.
Showing 15 of 15 upcoming league fixtures.
- Sat 31 Oct 2026
- 17:00 UKGrasshoppersGRAFC VaduzVAD
- 17:00 UKFC ST. GallenSTGServette FCSER
- 19:30 UKFC LuzernLUZFC SionSIO
- Sun 1 Nov 2026
- 13:00 UKBSC Young BoysYOUFC ZurichZUR
- 15:30 UKLausanneLAUFC ThunTHU
- 15:30 UKFC LuganoLUGFC Basel 1893BAS
- Sat 7 Nov 2026
- 17:00 UKFC LuzernLUZBSC Young BoysYOU
- 17:00 UKFC VaduzVADFC SionSIO
- 19:30 UKGrasshoppersGRALausanneLAU
- Sun 8 Nov 2026
- 13:00 UKFC ST. GallenSTGFC LuganoLUG
- 15:30 UKServette FCSERFC ZurichZUR
- 15:30 UKFC ThunTHUFC Basel 1893BAS
- Sat 21 Nov 2026
- 17:00 UKFC LuganoLUGGrasshoppersGRA
- 17:00 UKBSC Young BoysYOUFC ThunTHU
- 19:30 UKFC SionSIOServette FCSER
Frequently asked questions
How many Super League matches are predicted?
We currently model 6 upcoming fixtures across 12 teams. Each links to a full page with the calibrated probabilities behind it.
Are these Super League tips?
No. These are calibration graded model probabilities, not betting advice. Across these 6 matches the model averages 63.9% for Over 2.5 goals.
Calibration-graded model probabilities, not tips. See our public track record, including the misses.
