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Super League
Referee: Fedayi San
Sion
S U T S S
2–3
Full-time
Thun
U U 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

Sion Thun
Last 6 — all competitions · 6/6 matches
Win Ø 34%
50%
17%
Points per game
1,8
1,0
Over 2.5 Ø 59%
67%
50%
Both score Ø 67%
67%
67%
Average goals
3,3
3,7
Scored
2,3
1,5
Conceded
1,0
2,2
Goal diff per game
+1,3
-0,7
This season — Super League · 37/1 matches
Win Ø 12%
24%
0%
Points per game
1,1
0,0
Over 2.5 Ø 80%
59%
100%
Both score Ø 83%
65%
100%
Average goals
3,0
5,0
Scored
1,4
1,0
Conceded
1,6
4,0
Goal diff per game
-0,2
-3,0
🔒 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: 2–2

7 Shots 7
2 Shots on target 5
4 Goalkeeper saves 2
5 Corners 4
1 Offside 0
16 Free kicks against 14
3 Yellow cards 3
1 Red cards 0
The table before the match
# Team K V U T +/− P
1 Young Boys 35 24 9 2 +43 81
2 Basel 36 15 8 13 +7 53
3 Servette 36 14 8 14 -11 50
4 Lugano 36 12 13 11 -2 49
5 Luzern 36 12 10 14 +3 46
6 Lausanne 35 12 10 13 -1 46
7 St. Gallen 36 11 11 14 -3 44
8 Zurich 36 11 10 15 -4 43
9 Sion 37 9 14 14 -7 41
10 Vaduz 36 9 9 18 -22 36

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.