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Super League
Referee: A Jaccottet
Lugano
T U T T S
0–1
Full-time
Zurich
T S U T T

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

🔒 Who wins? Pro

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

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Team trends

Lugano Zurich
Last 6 — all competitions · 6/6 matches
Win Ø 17%
17%
17%
Points per game
0,8
0,7
Over 2.5 Ø 59%
50%
67%
Both score Ø 75%
67%
83%
Average goals
3,0
3,5
Scored
1,3
1,3
Conceded
1,7
2,2
Goal diff per game
-0,3
-0,8
This season — Super League · 23/23 matches
Win Ø 31%
26%
35%
Points per game
1,3
1,3
Over 2.5 Ø 48%
35%
61%
Both score Ø 57%
57%
57%
Average goals
2,3
2,9
Scored
1,1
1,5
Conceded
1,1
1,4
Goal diff per game
+0,0
+0,0
🔒 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: 0–1

69% Possession 31%
14 Shots 7
0 Shots on target 2
4 Blocked shots 1
1 Goalkeeper saves 0
5 Corners 2
0 Offside 3
13 Free kicks against 15
2 Yellow cards 0
0 Red cards 0
The table before the match Lugano 6. · Zurich 7.
# Team K V U T +/− P
1 Young Boys 23 14 8 1 +21 50
2 Servette 24 9 7 8 -2 34
3 Basel 24 9 6 9 -1 33
4 St. Gallen 23 8 7 8 +1 31
5 Lausanne 22 8 6 8 +4 30
6 Lugano 23 6 12 5 +0 30
7 Zurich 23 8 5 10 +1 29
8 Luzern 23 7 7 9 +3 28
9 Vaduz 24 5 8 11 -16 23
10 Sion 23 4 10 9 -11 22

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.