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Super League
Referee: A Jaccottet
Zurich
S U T T T
1–3
Full-time
St. Gallen
U U S T T

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

Zurich St. Gallen
Last 6 — all competitions · 6/6 matches
Win Ø 25%
17%
33%
Points per game
0,7
1,3
Over 2.5 Ø 67%
50%
83%
Both score Ø 58%
33%
83%
Average goals
3,2
4,0
Scored
0,8
1,8
Conceded
2,3
2,2
Goal diff per game
-1,5
-0,3
This season — Super League · 32/33 matches
Win Ø 48%
38%
58%
Points per game
1,3
1,9
Over 2.5 Ø 73%
63%
82%
Both score Ø 59%
41%
76%
Average goals
3,2
3,7
Scored
1,3
2,1
Conceded
1,9
1,6
Goal diff per game
-0,7
+0,5
🔒 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: 1–1

51% Possession 49%
11 Shots 24
6 Shots on target 12
1 Blocked shots 7
9 Goalkeeper saves 5
7 Corners 9
1 Offside 3
13 Free kicks against 18
3 Yellow cards 3
1 Red cards 0
The table before the match Zurich 6. · St. Gallen 2.
# Team K V U T +/− P
1 Young Boys 33 20 7 6 +35 67
2 St. Gallen 33 19 5 9 +17 62
3 Basel 33 18 5 10 +36 59
4 Servette 33 11 13 9 +9 46
5 Luzern 33 12 6 15 -8 42
6 Zurich 32 12 6 14 -22 42
7 Lugano 33 9 13 11 -3 40
8 Thun 34 10 6 18 -22 36
9 Sion 33 8 9 16 -17 33
10 Xamax 33 5 12 16 -25 27

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.