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Super League
Referee: A Bieri
Thun
S U S S U
0–0
Full-time
Basel
S S U S 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

Thun Basel
Last 6 — all competitions · 6/6 matches
Win Ø 50%
50%
50%
Points per game
1,8
1,8
Over 2.5 Ø 75%
67%
83%
Both score Ø 59%
67%
50%
Average goals
3,3
4,5
Scored
2,0
3,0
Conceded
1,3
1,5
Goal diff per game
+0,7
+1,5
This season — Super League · 34/34 matches
Win Ø 41%
29%
53%
Points per game
1,1
1,8
Over 2.5 Ø 68%
62%
74%
Both score Ø 55%
56%
53%
Average goals
3,1
3,3
Scored
1,2
2,2
Conceded
1,9
1,1
Goal diff per game
-0,6
+1,1
🔒 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: 0–0

59% Possession 41%
19 Shots 11
2 Shots on target 3
5 Blocked shots 3
3 Goalkeeper saves 2
4 Corners 2
0 Offside 2
9 Free kicks against 13
0 Yellow cards 6
0 Red cards 1
The table before the match Thun 9. · Basel 3.
# Team K V U T +/− P
1 Young Boys 34 21 7 6 +36 70
2 St. Gallen 34 20 5 9 +19 65
3 Basel 34 18 6 10 +36 60
4 Servette 34 12 13 9 +12 49
5 Luzern 34 12 6 16 -9 42
6 Zurich 34 12 6 16 -26 42
7 Lugano 34 9 14 11 -3 41
8 Sion 34 9 9 16 -15 36
9 Thun 34 10 6 18 -22 36
10 Xamax 34 5 12 17 -28 27

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.