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Super League
Referee: U Schnyder
Zurich
S S S T S
2–3
Full-time
Luzern
T T 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 Luzern
Last 6 — all competitions · 6/6 matches
Win Ø 50%
83%
17%
Points per game
2,5
0,5
Over 2.5 Ø 75%
67%
83%
Both score Ø 50%
33%
67%
Average goals
3,3
3,0
Scored
2,0
0,8
Conceded
1,3
2,2
Goal diff per game
+0,7
-1,3
This season — Super League · 18/18 matches
Win Ø 39%
50%
28%
Points per game
1,7
1,0
Over 2.5 Ø 59%
67%
50%
Both score Ø 39%
33%
44%
Average goals
3,1
2,4
Scored
1,3
0,9
Conceded
1,8
1,5
Goal diff per game
-0,5
-0,6
🔒 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: 1–3

55% Possession 45%
11 Shots 15
7 Shots on target 9
2 Blocked shots 2
6 Goalkeeper saves 5
9 Corners 3
1 Offside 5
11 Free kicks against 14
5 Yellow cards 3
0 Red cards 0
The table before the match Zurich 4. · Luzern 8.
# Team K V U T +/− P
1 Young Boys 18 11 5 2 +15 38
2 Basel 18 11 3 4 +24 36
3 St. Gallen 18 11 2 5 +17 35
4 Zurich 18 9 3 6 -9 30
5 Servette 18 7 6 5 +10 27
6 Lugano 18 5 6 7 -1 21
7 Sion 18 6 3 9 -10 21
8 Luzern 18 5 3 10 -10 18
9 Xamax 18 2 8 8 -12 14
10 Thun 18 2 3 13 -24 9

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.