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Super League
Referee: S Klossner
Young Boys
U U S S S
4–2
Full-time
Thun
T U T 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

Young Boys Thun
Last 6 — all competitions · 6/6 matches
Win Ø 25%
50%
0%
Points per game
2,0
0,2
Over 2.5 Ø 50%
67%
33%
Both score Ø 58%
83%
33%
Average goals
3,7
2,5
Scored
2,5
0,3
Conceded
1,2
2,2
Goal diff per game
+1,3
-1,8
This season — Super League · 11/11 matches
Win Ø 37%
64%
9%
Points per game
2,3
0,5
Over 2.5 Ø 50%
55%
45%
Both score Ø 50%
64%
36%
Average goals
3,3
2,7
Scored
2,4
0,7
Conceded
0,9
2,0
Goal diff per game
+1,5
-1,3
🔒 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: 2–1

53% Possession 47%
16 Shots 15
6 Shots on target 5
4 Blocked shots 4
3 Goalkeeper saves 2
7 Corners 5
1 Offside 1
17 Free kicks against 12
2 Yellow cards 5
0 Red cards 0
The table before the match Young Boys 2. · Thun 10.
# Team K V U T +/− P
1 Basel 11 8 2 1 +18 26
2 Young Boys 11 7 4 0 +16 25
3 St. Gallen 11 6 2 3 +6 20
4 Sion 12 5 2 5 -1 17
5 Luzern 12 4 3 5 -2 15
6 Servette 12 2 6 4 -1 12
7 Zurich 11 3 3 5 -14 12
8 Xamax 12 2 5 5 -7 11
9 Lugano 11 2 4 5 -1 10
10 Thun 11 1 3 7 -14 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

25. Sep -19 Thun – Young Boys 1–1

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