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Super League
Switzerland · 6 matches in the next 30 days
Average goals
3,87
Over 1.5
87 %
Over 2.5
78 %
BLS
74 %
Match outcome H / D / A
39
19
43
Season progress
41 %
54 of 132 matches played · season 2026/27
| Match | 1X2 odds | Model % | xGoals | PPG L10 |
Goal diff L10 |
Goals/game L10 |
xG L10 |
xG-diff L10 |
Value |
|---|---|---|---|---|---|---|---|---|---|
|
Saturday 10. October
3
|
|||||||||
|
10. Oct
18:00
Zurich
Thun
|
– | – | – | 1,1 0,8 |
-8 -12 |
3,6 4,4 |
🔒 | 🔒 | – |
|
10. Oct
18:00
Servette
Sion
|
– | – | – | 1,3 1,9 |
+0 +5 |
2,6 4,5 |
🔒 | 🔒 | – |
|
10. Oct
20:30
Lugano
Luzern
|
– | – | – | 2,4 1,5 |
+17 +2 |
3,5 3,8 |
🔒 | 🔒 | – |
|
Sunday 11. October
3
|
|||||||||
|
11. Oct
14:00
Grasshoppers
Young Boys
|
– | – | – | 1,1 2,0 |
-10 +13 |
4,0 5,5 |
🔒 | 🔒 | – |
|
11. Oct
16:30
Vaduz
Basel
|
– | – | – | 0,7 1,3 |
-3 -4 |
4,3 3,8 |
🔒 | 🔒 | – |
|
11. Oct
16:30
St. Gallen
Lausanne
|
– | – | – | 1,0 0,6 |
-3 -10 |
3,9 2,6 |
🔒 | 🔒 | – |
General
Stats window
Number of recent matches behind the PPG, goal diff, goals/game and xG columns.
Model filters Pro
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Favourite chance (model)
0%
Min. expected goals
0
Max expected goals
6
Min. both teams to score
0%
Min. value edge
0%
All numbers are statistical estimates from our model. The Value column shows the model's largest deviation from the odds — history shows the market is usually right when the gap is large. Click a row for the full match analysis.