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Super League
Referee: N Hänni
Basel
S U S S U
3–1
Full-time
Thun
T T U T 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

Basel Thun
Last 6 — all competitions · 6/6 matches
Win Ø 34%
67%
0%
Points per game
2,3
0,2
Over 2.5 Ø 50%
67%
33%
Both score Ø 25%
33%
17%
Average goals
2,5
2,5
Scored
2,2
0,2
Conceded
0,3
2,3
Goal diff per game
+1,8
-2,2
This season — Super League · 10/10 matches
Win Ø 40%
70%
10%
Points per game
2,3
0,6
Over 2.5 Ø 60%
80%
40%
Both score Ø 45%
60%
30%
Average goals
3,2
2,6
Scored
2,4
0,7
Conceded
0,8
1,9
Goal diff per game
+1,6
-1,2
🔒 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

50% Possession 50%
15 Shots 10
8 Shots on target 5
3 Blocked shots 1
4 Goalkeeper saves 6
3 Corners 3
2 Offside 3
16 Free kicks against 17
0 Yellow cards 2
0 Red cards 0
The table before the match Basel 1. · Thun 10.
# Team K V U T +/− P
1 Basel 10 7 2 1 +16 23
2 Young Boys 10 6 4 0 +13 22
3 St. Gallen 10 5 2 3 +5 17
4 Sion 10 5 1 4 +1 16
5 Luzern 10 3 3 4 -2 12
6 Servette 10 2 5 3 +0 11
7 Zurich 10 3 2 5 -14 11
8 Lugano 10 2 3 5 -1 9
9 Xamax 10 1 5 4 -6 8
10 Thun 10 1 3 6 -12 6

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.

Recent head-to-head meetings

3. Aug -19 Thun – Basel 2–3

The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.