Shot-shy
6/10Lausanne Sport failed to score in 6 of their last 10 (league 19%).
Super League Predictions & Stats
Free AI predictions for every upcoming Super League match — 1X2, Both Teams to Score, Over/Under goals and Correct Score probabilities.
Predictions updated on 31 October 2026.
Super League Predictions by Market
Season 2022/2023 · Round 36 · Regular Season
Full-Time Result
59%
SUCCESS RATE AVG.
Both Teams To Score
64%
SUCCESS RATE AVG.
Over/Under 2.5 Goals
72%
SUCCESS RATE AVG.
Over/Under 3.5 Goals
52%
SUCCESS RATE AVG.
First Half Result
43%
SUCCESS RATE AVG.
Correct Score
13%
SUCCESS RATE AVG.
Super League 2022/2023 prediction accuracy over the last 100 matches: 1X2 59%, BTTS 64%, Over/Under 2.5 72%, Over/Under 3.5 52%, correct score 13%.
Super League stats: goals, BTTS, corners and cards vs other leagues
How this competition ranks among the leagues and cups we cover for goals, chances (xG), corners and cards.
How to read it
last 12 months · 228 matchesrank 1 = highest of 63 competitionsGoals galoreAway days payCorner-heavy
Goals a match
3.36
2nd of 63
xG a match
3.19
1st of 62
Corners a match
Cards a match
Calculated by MyGameOdds · xG: our own model
How it works
We use the league's matches from the last 12 months, without qualifying rounds, and rank it against the 63 leagues and club competitions with 50 or more matches in that time (1 = highest). A label marks a league in the top fifth on goals, home or away wins, draws, cards or corners, or in the bottom fifth on goals. xG is our estimate of each match's chances from its shots.
Super League: the stats that stand out
The Super League teams most unusual in their last 10 games.
How to read it
the teamleague averageeach team's last 10 games6/10Goal-fests
10/10Vaduz games went over 2.5 goals in 10 of their last 10 (league 67%).
Banker as favourites
8/9Lugano won 8 of 9 as favourites (league 53%).
Goals at both ends
9/10Zürich: both teams scored in 9 of their last 10 (league 65%).
Fast starters
7/10Young Boys scored first in 7 of 10 recent matches with goal times (league 48%).
Calculated by MyGameOdds
How it works
For each stat we show the club that stands out most, one club per stat. A fact needs at least 6 games and a result far enough from the league average to be unusual (at least one standard deviation).
How we measure →Today's Betting Tips for Super League Switzerland
Free predictions for today's Super League matches: 1X2, both teams to score, over/under and correct score.
· FT
Luzern0
Servette1Winner
12 74%
BTTS*
Yes 57%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 55%
Over/Under 3.5 goals
under 57%
Luzern0Servette1Winner
12 74%
BTTS*
Yes 57%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 55%
Over/Under 3.5 goals
under 57%
Full Time
136%
X26%
238%
Team Goals Over/Under
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
 | 29% | 71% | 60% | 40% |
 | 29% | 71% | 61% | 39% |
Goals Over/Under
| <2.5 | >2.5 | <3.5 | >3.5 | |
|---|---|---|---|---|
| FT | 45% | 55% | 57% | 43% |
Correct Score
1-1
11.4%
1-0
8.5%
0-1
8.2%
2-1
8.0%
1-2
8.0%
0-0
6.5%
· FT
Basel3
Grasshopper1Winner
1X 72%
BTTS*
Yes 55%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 53%
Over/Under 3.5 goals
under 58%
Basel3Grasshopper1Winner
1X 72%
BTTS*
Yes 55%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 53%
Over/Under 3.5 goals
under 58%
· FT
Young Boys2
Winterthur1Winner
1 78%
BTTS*
No 55%
Correct Score
2-0 12%
Over/Under 2.5 goals
over 63%
Over/Under 3.5 goals
over 51%
Young Boys2Winterthur1Winner
1 78%
BTTS*
No 55%
Correct Score
2-0 12%
Over/Under 2.5 goals
over 63%
Over/Under 3.5 goals
over 51%
· FT
St. Gallen4
Sion0Winner
1 59%
BTTS*
Yes 58%
Correct Score
2-1 09%
Over/Under 2.5 goals
over 61%
Over/Under 3.5 goals
over 50%
St. Gallen4Sion0Winner
1 59%
BTTS*
Yes 58%
Correct Score
2-1 09%
Over/Under 2.5 goals
over 61%
Over/Under 3.5 goals
over 50%
· FT
Zürich2
Lugano3Winner
1X 69%
BTTS*
Yes 52%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 51%
Over/Under 3.5 goals
under 63%
Zürich2Lugano3Winner
1X 69%
BTTS*
Yes 52%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 51%
Over/Under 3.5 goals
under 63%
· FT
St. Gallen2Servette1Winner
1X 66%
BTTS*
Yes 63%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 63%
Over/Under 3.5 goals
over 51%
St. Gallen2Servette1Winner
1X 66%
BTTS*
Yes 63%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 63%
Over/Under 3.5 goals
over 51%
· FT
Grasshopper2
Vaduz2Winner
1X 62%
BTTS*
Yes 64%
Correct Score
1-1 09%
Over/Under 2.5 goals
over 66%
Over/Under 3.5 goals
over 53%
Grasshopper2Vaduz2Winner
1X 62%
BTTS*
Yes 64%
Correct Score
1-1 09%
Over/Under 2.5 goals
over 66%
Over/Under 3.5 goals
over 53%
· FT
Luzern1Sion1Winner
1X 65%
BTTS*
Yes 66%
Correct Score
1-1 09%
Over/Under 2.5 goals
over 66%
Over/Under 3.5 goals
over 56%
Luzern1Sion1Winner
1X 65%
BTTS*
Yes 66%
Correct Score
1-1 09%
Over/Under 2.5 goals
over 66%
Over/Under 3.5 goals
over 56%
Young Boys–Zürich–Winner
1 63%
BTTS*
Yes 58%
Correct Score
1-0 10%
Over/Under 2.5 goals
over 62%
Over/Under 3.5 goals
over 52%
Young Boys–Zürich–Winner
1 63%
BTTS*
Yes 58%
Correct Score
1-0 10%
Over/Under 2.5 goals
over 62%
Over/Under 3.5 goals
over 52%
Lugano–Basel–Winner
1X 69%
BTTS*
Yes 69%
Correct Score
2-1 09%
Over/Under 2.5 goals
over 72%
Over/Under 3.5 goals
over 61%
Lugano–Basel–Winner
1X 69%
BTTS*
Yes 69%
Correct Score
2-1 09%
Over/Under 2.5 goals
over 72%
Over/Under 3.5 goals
over 61%
Lausanne Sport–
Thun–Winner
1X 64%
BTTS*
Yes 64%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 64%
Over/Under 3.5 goals
over 52%
Lausanne Sport–Thun–Winner
1X 64%
BTTS*
Yes 64%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 64%
Over/Under 3.5 goals
over 52%
Vaduz–Sion–Winner
1X 63%
BTTS*
Yes 66%
Correct Score
1-1 09%
Over/Under 2.5 goals
over 66%
Over/Under 3.5 goals
over 55%
Vaduz–Sion–Winner
1X 63%
BTTS*
Yes 66%
Correct Score
1-1 09%
Over/Under 2.5 goals
over 66%
Over/Under 3.5 goals
over 55%
Luzern–Young Boys–Winner
X2 69%
BTTS*
Yes 66%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 66%
Over/Under 3.5 goals
over 54%
Luzern–Young Boys–Winner
X2 69%
BTTS*
Yes 66%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 66%
Over/Under 3.5 goals
over 54%
Grasshopper–Lausanne Sport–Winner
X2 66%
BTTS*
Yes 62%
Correct Score
1-1 09%
Over/Under 2.5 goals
over 65%
Over/Under 3.5 goals
over 52%
Grasshopper–Lausanne Sport–Winner
X2 66%
BTTS*
Yes 62%
Correct Score
1-1 09%
Over/Under 2.5 goals
over 65%
Over/Under 3.5 goals
over 52%
St. Gallen–Lugano–Winner
2 51%
BTTS*
Yes 60%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 62%
Over/Under 3.5 goals
under 51%
St. Gallen–Lugano–Winner
2 51%
BTTS*
Yes 60%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 62%
Over/Under 3.5 goals
under 51%
Thun–Basel–Winner
X2 66%
BTTS*
Yes 66%
Correct Score
1-1 09%
Over/Under 2.5 goals
over 67%
Over/Under 3.5 goals
over 57%
Thun–Basel–Winner
X2 66%
BTTS*
Yes 66%
Correct Score
1-1 09%
Over/Under 2.5 goals
over 67%
Over/Under 3.5 goals
over 57%
Servette–Zürich–Winner
1 54%
BTTS*
Yes 58%
Correct Score
2-1 10%
Over/Under 2.5 goals
over 59%
Over/Under 3.5 goals
under 54%
Servette–Zürich–Winner
1 54%
BTTS*
Yes 58%
Correct Score
2-1 10%
Over/Under 2.5 goals
over 59%
Over/Under 3.5 goals
under 54%
*Probability of each predicted outcome is expressed in percentage (%)
*BTTS - Both teams to score
Super League xG: chances created and allowed
Every Super League team's chances created and allowed a game, measured with our own xG.
How to read it
each logo is a team · tap one for detailseach logo is a team · hover one for detailsSuper League average · 1.69 xG, 1.69 xGAlast 10 games eachTap a logo to see the team's numbers
↑ Fewer chances allowed (xGA a game)
More chances created (xG a game) →
Teams by box· 12
Good attack, good defence
Good attack, weak defence
Weak attack, weak defence
Calculated by MyGameOdds · xG: our own model
How it works
xG is our estimate of how many goals a team's chances were worth, from the shots in each match; xGA is the same for the chances it allowed. The dashed lines are the average of the teams shown. A team close to a line is about average. Teams with fewer than 5 games here aren't in the chart yet.
How we measure →Super League Results vs the Odds
Season 2026/2027 and the last 30 days
How often each result has happened in Super League this season (thick bar) and in the last 30 days (thin bar), next to what the bookmakers’ closing odds expected. The last 30 days cover fewer matches, so their normal range is wider and big swings there are still normal. This is not our prediction accuracy.
How to read it
what the closing odds expectednormal range: chance alone lands here 19 times in 20gap to the odds, in percentage pointsgap outside the normal rangethick bar: Season · thin bar: 30 days
Result · happened
◀ fewer −40◀ fewer than expected · −40 pts odds expected+40 more ▶+40 pts · more than expected ▶
Verdict
Home wins
66 matches
45.5%
Season (66) · 45.5% vs 45.3%
Season
+0.2
±11.5
30 days (12) · 75.0% vs 44.0%More than expected
30 days
+31.0
±26.7More than expected
Draws
66 matches
16.7%
Season (66) · 16.7% vs 23.0%
Season
−6.3
±10.1
30 days (12) · 8.3% vs 23.0%
30 days
−14.7
±23.8
Away wins
66 matches
37.9%
Season (66) · 37.9% vs 31.7%
Season
+6.1
±10.7
30 days (12) · 16.7% vs 33.0%
30 days
−16.3
±25.2
Over 2.5 goals
66 matches
74.2%
Season (66) · 74.2% vs 65.9%
Season
+8.3
±11.3
30 days (12) · 58.3% vs 67.8%
30 days
−9.5
±26.2
Both teams scored
66 matches
66.7%
Season (66) · 66.7% vs 65.3%
Season
+1.4
±11.4
30 days (12) · 33.3% vs 66.5%Fewer than expected
30 days
−33.1
±26.6Fewer than expected
Show more markets (6)Show fewer markets
Over 3.5 goals
66 matches
50.0%
Season (66) · 50.0% vs 45.1%
Season
+4.9
±11.9
30 days (12) · 25.0% vs 47.4%
30 days
−22.4
±28.0
Home side ahead at half-time
66 matches
39.4%
Season (66) · 39.4% vs 36.7%
Season
+2.7
±11.4
30 days (12) · 66.7% vs 35.7%More than expected
30 days
+30.9
±26.5More than expected
Level at half-time
66 matches
37.9%
Season (66) · 37.9% vs 36.0%
Season
+1.9
±11.6
30 days (12) · 33.3% vs 35.0%
30 days
−1.7
±27.0
Away side ahead at half-time
66 matches
22.7%
Season (66) · 22.7% vs 27.3%
Season
−4.6
±10.6
30 days (12) · 0.0% vs 29.2%Fewer than expected
30 days
−29.2
±25.1Fewer than expected
Home team scored 2+
66 matches
60.6%
Season (66) · 60.6% vs 55.6%
Season
+5.0
±11.7
30 days (12) · 66.7% vs 56.4%
30 days
+10.2
±27.3
Away team scored 2+
66 matches
53.0%
Season (66) · 53.0% vs 44.3%
Season
+8.7
±11.7
30 days (12) · 25.0% vs 48.2%
30 days
−23.2
±27.2
Shows what happened, not what comes next. Closing odds from one bookmaker per match, bookmaker margin removed. Updated daily.
Show as a tableHide the table
| Result | Period | Matches | Happened | Odds expected | Gap (pts) | Normal range (± pts) | Verdict |
|---|---|---|---|---|---|---|---|
| Home wins | Season | 66 | 45.5% | 45.3% | +0.2 | ±11.5 | Normal range |
| Home wins | 30 days | 12 | 75.0% | 44.0% | +31.0 | ±26.7 | More than expected |
| Draws | Season | 66 | 16.7% | 23.0% | −6.3 | ±10.1 | Normal range |
| Draws | 30 days | 12 | 8.3% | 23.0% | −14.7 | ±23.8 | Normal range |
| Away wins | Season | 66 | 37.9% | 31.7% | +6.1 | ±10.7 | Normal range |
| Away wins | 30 days | 12 | 16.7% | 33.0% | −16.3 | ±25.2 | Normal range |
| Over 2.5 goals | Season | 66 | 74.2% | 65.9% | +8.3 | ±11.3 | Normal range |
| Over 2.5 goals | 30 days | 12 | 58.3% | 67.8% | −9.5 | ±26.2 | Normal range |
| Both teams scored | Season | 66 | 66.7% | 65.3% | +1.4 | ±11.4 | Normal range |
| Both teams scored | 30 days | 12 | 33.3% | 66.5% | −33.1 | ±26.6 | Fewer than expected |
| Over 3.5 goals | Season | 66 | 50.0% | 45.1% | +4.9 | ±11.9 | Normal range |
| Over 3.5 goals | 30 days | 12 | 25.0% | 47.4% | −22.4 | ±28.0 | Normal range |
| Home side ahead at half-time | Season | 66 | 39.4% | 36.7% | +2.7 | ±11.4 | Normal range |
| Home side ahead at half-time | 30 days | 12 | 66.7% | 35.7% | +30.9 | ±26.5 | More than expected |
| Level at half-time | Season | 66 | 37.9% | 36.0% | +1.9 | ±11.6 | Normal range |
| Level at half-time | 30 days | 12 | 33.3% | 35.0% | −1.7 | ±27.0 | Normal range |
| Away side ahead at half-time | Season | 66 | 22.7% | 27.3% | −4.6 | ±10.6 | Normal range |
| Away side ahead at half-time | 30 days | 12 | 0.0% | 29.2% | −29.2 | ±25.1 | Fewer than expected |
| Home team scored 2+ | Season | 66 | 60.6% | 55.6% | +5.0 | ±11.7 | Normal range |
| Home team scored 2+ | 30 days | 12 | 66.7% | 56.4% | +10.2 | ±27.3 | Normal range |
| Away team scored 2+ | Season | 66 | 53.0% | 44.3% | +8.7 | ±11.7 | Normal range |
| Away team scored 2+ | 30 days | 12 | 25.0% | 48.2% | −23.2 | ±27.2 | Normal range |
Super League luck check: the last 10 games
Super League teams taking more or fewer points than their chances usually bring, measured with our own xG.
How to read it
what their chances usually bringnormal range (±4)outside it+10.3 = 10 points more than their chances usually bringRiding their luck2
- LuganoClinical · +13 goals+10.3
- Zürich+5.3
Unlucky2
St. GallenWasteful · −7 goals−5.1
Thun−4.7
Points in line, but wasteful: Grasshopper (−4 goals), Lausanne Sport (−4), Luzern (−4). Clinical: Young Boys (+6), Vaduz (+4).
In line with their chances: Sion, Servette and Basel.
Calculated by MyGameOdds · xG: our own model
How it works
For each of a team's last 10 games, we work out how many points a team usually gets from a game with those chances (xG) for and against, add them up and compare with the points it actually got. We do the same for goals. Strong teams often get a bit more than their chances suggest, so we compare each team with sides of similar strength in this league. That way nobody is flagged just for being good.
We flag a team when the gap is 4 points or more (or 3 goals or more). If some games have no xG data, we use the ones that do.
Does it mean anything? 85% of teams 4+ points ahead of their chances got fewer points in their next 10 games, and 83% of teams 4+ points behind got more. Bookmakers already expect these gaps to even out, so it's a fan's read, not a betting edge.
How we measure →Super League last week: smash-and-grab wins and upsets
Smash-and-grab wins (the side with clearly fewer chances won) and upsets (results the closing odds gave under 20%) from the last 7 days.
How to read it
Oct 24–Oct 31 · 6 matches · odds: closing, margin removedNo smash-and-grab wins or upsets in these 6 matches.
Calculated by MyGameOdds · xG: our own model
How it works
Smash-and-grab: the winner had at least 0.8 less xG than the loser (our xG, from shots). Upset: the result the closing odds gave under 20%, with the bookmaker margin removed. Across our leagues about 6% of matches are smash-and-grab wins and about 5% are upsets.
How we measure →Super League Standings
Check the current league table, team positions, points, and form. Click to view complete standings with detailed statistics.
#TEAM | MP | PTS | W | D | L | G | GD | FORM |
|---|---|---|---|---|---|---|---|---|
1  Lugano | 11 | 31 | 10 | 1 | 0 | 34:9 | +25 | W W W W D |
2  Young Boys | 11 | 25 | 7 | 4 | 0 | 35:18 | +17 | W W W D D |
3  Sion | 12 | 23 | 7 | 2 | 3 | 25:18 | +7 | D W L D W |
4  St. Gallen | 12 | 19 | 6 | 1 | 5 | 19:22 | -3 | W L W W L |
5  Zürich | 11 | 17 | 5 | 2 | 4 | 20:23 | -3 | W W D W D |
Championship Round
Relegation Round
MP=Matches Played
PTS=Points
W=Wins
D=Draws
L=Losses
G=Goals (For:Against)
GD=Goal Difference
FORM=Last 5 Matches
The league profile compares Super League with the 63 leagues and cups we rank over the last 12 months (rank 1 = highest). The stats that stand out pick the most unusual numbers from each team's last 10 games. The attack vs defence chart puts each team in one of four boxes: top right creates more and allows fewer chances than the league average. The luck check shows who got more or fewer points than their chances in the last 10 games, and Last week lists wins with fewer chances and results the bookmakers gave under 20%.
These statistics represent prediction accuracy based on the last 100 matches in the league. Accuracy reflects how often the model correctly predicted the outcome for each market. Our football predictions are generated using advanced AI techniques combined with historical match data, team form, player availability and head-to-head records to deliver reliable forecasts. Explore our prediction results tracker for live accuracy across all completed matches, our league accuracy data for competition-level breakdowns, or prediction performance for team-level insights.
About Super League
The Swiss Super League is the top professional football league in Switzerland. It consists of 10 teams and operates on a system of promotion and relegation with the Swiss Challenge League. The Swiss Super League is known for its competitive matches and scenic stadiums. FC Basel is the most successful club in Swiss Super League history.