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Super League
Referee: S Horisberger
Zurich
U T U T T
3–0
Full-time
Lugano
U S T S 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

Zurich Lugano
Last 6 — all competitions · 6/6 matches
Win Ø 25%
0%
50%
Points per game
0,3
1,7
Over 2.5 Ø 58%
83%
33%
Both score Ø 58%
83%
33%
Average goals
3,3
2,0
Scored
1,0
1,0
Conceded
2,3
1,0
Goal diff per game
-1,3
+0,0
This season — Super League · 31/31 matches
Win Ø 31%
29%
32%
Points per game
1,1
1,4
Over 2.5 Ø 48%
61%
35%
Both score Ø 55%
61%
48%
Average goals
2,9
2,2
Scored
1,4
1,1
Conceded
1,5
1,1
Goal diff per game
-0,2
+0,1
🔒 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: 1–0

45% Possession 55%
13 Shots 8
7 Shots on target 0
3 Blocked shots 2
0 Goalkeeper saves 4
8 Corners 4
1 Offside 2
9 Free kicks against 18
3 Yellow cards 4
0 Red cards 0
The table before the match Zurich 8. · Lugano 4.
# Team K V U T +/− P
1 Young Boys 30 20 9 1 +35 69
2 Basel 32 13 8 11 +7 47
3 Servette 31 12 8 11 -7 44
4 Lugano 31 10 13 8 +2 43
5 Luzern 32 11 9 12 +4 42
6 Lausanne 30 11 8 11 +3 41
7 St. Gallen 32 9 10 13 -6 37
8 Zurich 31 9 8 14 -6 35
9 Vaduz 32 8 9 15 -17 33
10 Sion 31 6 12 13 -15 30

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.