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Super League
Referee: U Schnyder
Basel
S U U U S
3–1
Full-time
Zurich
S S U T U

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

Basel Zurich
Last 6 — all competitions · 6/6 matches
Win Ø 50%
50%
50%
Points per game
2,0
1,8
Over 2.5 Ø 75%
50%
100%
Both score Ø 83%
83%
83%
Average goals
3,8
4,2
Scored
2,8
2,2
Conceded
1,0
2,0
Goal diff per game
+1,8
+0,2
This season — Super League · 7/7 matches
Win Ø 57%
57%
57%
Points per game
2,1
2,0
Over 2.5 Ø 65%
43%
86%
Both score Ø 71%
71%
71%
Average goals
3,6
3,9
Scored
2,7
2,1
Conceded
0,9
1,7
Goal diff per game
+1,9
+0,4
🔒 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

54% Possession 46%
13 Shots 23
6 Shots on target 4
3 Blocked shots 8
3 Goalkeeper saves 3
4 Corners 10
0 Offside 1
6 Free kicks against 9
1 Yellow cards 5
0 Red cards 0
The table before the match Basel 1. · Zurich 3.
# Team K V U T +/− P
1 Basel 7 4 3 0 +13 15
2 Young Boys 7 4 2 1 +10 14
3 Zurich 7 4 2 1 +3 14
4 Servette 8 3 3 2 +2 12
5 Lugano 7 3 2 2 +1 11
6 Sion 7 2 3 2 -4 9
7 Grasshoppers 7 1 4 2 -1 7
8 St. Gallen 8 1 3 4 -7 6
9 Luzern 8 0 4 4 -7 4
10 Lausanne 8 0 4 4 -10 4

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.