Swiss Super League
Latest results
No fixtures in the next 14 days — predictions appear the day before each round.
Every current predictionSwiss Super League profile
44%
Home wins
25%
Draws
31%
Away wins
63%
Over 2.5 goals
64%
Both teams scored
3.20
Goals / game
Across 514 Swiss Super League matches in our dataset since 2024-25.
League table
| # | Team | P | W | D | L | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|
| 1 | 9 | 8 | 1 | 0 | +20 | 25 | WWDWW | |
| 2 | 9 | 5 | 4 | 0 | +13 | 19 | WDDWD | |
| 3 | 9 | 6 | 1 | 2 | +9 | 19 | DWWWW | |
| 4 | 9 | 4 | 1 | 4 | 0 | 13 | LWLLD | |
| 5 | 9 | 4 | 1 | 4 | -3 | 13 | WLLWL | |
| 6 | 9 | 3 | 3 | 3 | -1 | 12 | WLDWD | |
| 7 | 9 | 3 | 2 | 4 | -6 | 11 | DWDLW | |
| 8 | 9 | 3 | 1 | 5 | -2 | 10 | LWWLL | |
| 9 | 9 | 3 | 1 | 5 | -8 | 10 | WLLLD | |
| 10 | 9 | 2 | 2 | 5 | -11 | 8 | LLWDW | |
| 11 | 9 | 2 | 0 | 7 | -3 | 6 | LLWLW | |
| 12 | 9 | 1 | 3 | 5 | -8 | 6 | LLLDL |
Swiss Super League team stats
BTTS rate by team
| Team | Played | BTTS |
|---|---|---|
| 30 | 80% | |
| 30 | 77% | |
| 30 | 73% | |
| 30 | 73% | |
| 30 | 70% | |
| 30 | 70% | |
| 30 | 67% | |
| 30 | 63% | |
| 30 | 63% | |
| 30 | 60% | |
| 30 | 60% |
Over 2.5 goals rate by team
| Team | Played | Over 2.5 |
|---|---|---|
| 30 | 83% | |
| 30 | 83% | |
| 30 | 80% | |
| 30 | 77% | |
| 30 | 73% | |
| 30 | 70% | |
| 30 | 67% | |
| 30 | 60% | |
| 30 | 60% | |
| 30 | 57% | |
| 30 | 47% |
Expected goals 2026-27
| Team | Played | xG | xGA | xG diff | Goals − xG |
|---|---|---|---|---|---|
| 9 | 2.34 | 1.42 | +0.92 | +9.9 | |
| 9 | 2.29 | 1.54 | +0.75 | +2.3 | |
| 9 | 1.94 | 1.41 | +0.53 | −1.4 | |
| 9 | 1.69 | 1.30 | +0.39 | +11.8 | |
| 9 | 1.95 | 2.00 | −0.06 | −0.5 | |
| 8 | 1.38 | 1.47 | −0.09 | −4.0 | |
| 8 | 1.45 | 1.63 | −0.19 | +0.4 | |
| 8 | 1.25 | 1.46 | −0.21 | +7.0 | |
| 8 | 1.56 | 2.02 | −0.47 | +4.6 | |
| 8 | 0.89 | 1.43 | −0.54 | −1.1 | |
| 8 | 1.74 | 2.35 | −0.61 | −2.9 | |
| 7 | 1.39 | 2.25 | −0.86 | +1.3 |
Each club's last 30 Swiss Super League matches in our dataset, newest first — current season included, sample size shown per club. Historical frequencies, not predictions; the model's per-match probabilities live on the BTTS and over/under 2.5 tips pages. Expected goals are per-game figures over each club's league matches this season that carry xG on both sides; "Goals − xG" is the season total. Provider-recorded statistics, sourced as documented on our data page; the model does not use xG yet.
