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

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 67%
100%
33%
Points per game
3,0
1,2
Over 2.5 Ø 59%
67%
50%
Both score Ø 50%
50%
50%
Average goals
3,0
2,8
Scored
2,5
1,0
Conceded
0,5
1,8
Goal diff per game
+2,0
-0,8
This season — Super League · 20/20 matches
Win Ø 60%
70%
50%
Points per game
2,3
1,7
Over 2.5 Ø 58%
75%
40%
Both score Ø 58%
65%
50%
Average goals
3,7
2,7
Scored
2,4
1,4
Conceded
1,4
1,3
Goal diff per game
+1,0
+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

38% Possession 62%
17 Shots 13
7 Shots on target 2
3 Blocked shots 5
2 Goalkeeper saves 4
3 Corners 4
1 Offside 0
7 Free kicks against 12
1 Yellow cards 2
0 Red cards 0
The table before the match Zurich 1. · Lugano 4.
# Team K V U T +/− P
1 Zurich 20 14 4 2 +20 46
2 Young Boys 21 11 6 4 +24 39
3 Basel 21 9 10 2 +20 37
4 Lugano 20 10 3 7 +1 33
5 Servette 21 8 4 9 -5 28
6 Grasshoppers 21 6 8 7 +4 26
7 Sion 20 7 4 9 -9 25
8 St. Gallen 21 6 5 10 -9 23
9 Lausanne 21 2 6 13 -26 12
10 Luzern 20 1 8 11 -20 11

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.