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Super League
Referee: L Fähndrich
St. Gallen
S U T S S
1–2
Full-time
Zurich
U T S S S

Retrospective analysis — the model is trained only on matches played before this one.

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The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.

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Team trends

St. Gallen Zurich
Last 6 — all competitions · 6/6 matches
Win Ø 67%
67%
67%
Points per game
2,2
2,2
Over 2.5 Ø 67%
83%
50%
Both score Ø 59%
50%
67%
Average goals
3,7
2,8
Scored
2,5
2,0
Conceded
1,2
0,8
Goal diff per game
+1,3
+1,2
This season — Super League · 32/32 matches
Win Ø 55%
41%
69%
Points per game
1,5
2,3
Over 2.5 Ø 68%
69%
66%
Both score Ø 63%
66%
59%
Average goals
3,6
3,4
Scored
1,9
2,2
Conceded
1,7
1,2
Goal diff per game
+0,2
+1,0
🔒 Goal markets Pro

Expected goals, over/under and both teams to score — priced by the model before kick-off.

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🔒 Most likely result Pro

The model's top final scores with the best bookmaker odds.

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Match stats

Half-time score: 1–2

53% Possession 47%
23 Shots 12
1 Shots on target 6
11 Blocked shots 3
5 Goalkeeper saves 0
10 Corners 5
1 Offside 4
15 Free kicks against 13
2 Yellow cards 3
0 Red cards 0
The table before the match St. Gallen 5. · Zurich 1.
# Team K V U T +/− P
1 Zurich 32 22 6 4 +33 72
2 Basel 32 14 14 4 +28 56
3 Young Boys 33 14 11 8 +24 53
4 Lugano 33 15 5 13 -4 50
5 St. Gallen 32 13 8 11 +6 47
6 Servette 32 12 5 15 -12 41
7 Grasshoppers 32 8 12 12 -1 36
8 Sion 32 9 7 16 -21 34
9 Luzern 32 6 12 14 -19 30
10 Lausanne 32 4 8 20 -34 20

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.

The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.