Super League
Retrospective analysis — the model is trained only on matches played before this one.
The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.
Unlock with ProAlready have an account? Log in
Zurich
Basel
Expected goals, over/under and both teams to score — priced by the model before kick-off.
Unlock with ProAlready have an account? Log in
The model's top final scores with the best bookmaker odds.
Unlock with ProAlready have an account? Log in
Half-time score: 2–1
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Zurich
|
22 | 15 | 5 | 2 | +23 | 50 |
| 2 |
Young Boys
|
23 | 12 | 7 | 4 | +26 | 43 |
| 3 |
Basel
|
22 | 10 | 10 | 2 | +23 | 40 |
| 4 |
Lugano
|
23 | 11 | 3 | 9 | -2 | 36 |
| 5 |
St. Gallen
|
23 | 8 | 5 | 10 | -5 | 29 |
| 6 |
Servette
|
23 | 8 | 5 | 10 | -7 | 29 |
| 7 |
Grasshoppers
|
23 | 6 | 9 | 8 | +2 | 27 |
| 8 |
Sion
|
23 | 7 | 5 | 11 | -12 | 26 |
| 9 |
Luzern
|
22 | 2 | 9 | 11 | -19 | 15 |
| 10 |
Lausanne
|
22 | 2 | 6 | 14 | -29 | 12 |
Calculated from our results data. “xG +/−” is expected goal difference — a positive number with a low league position suggests an undervalued team. Ties on points are sorted by goal difference; some leagues use other rules.
F. Aliti
D
B. Omeragić
D
B. Kramer
F
A. Tosin
F
Coach: A. Breitenreiter
H. Lindner
G
A. Pelmard
D
N. Katterbach
D
S. Pavlović
D
D. Males
M
L. Millar
F
D. Ndoye
F
Coach: Guillermo Abascal
Green columns are the outcomes that came in.
Sion
Zurich
Zurich
Lugano
Grasshoppers
Zurich
Zurich
Servette
Zurich
St. Gallen
L Fähndrich · 128 kamper i vår database
🟥 Red cards: 0,22 per match
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.