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2. Bundesliga
St Pauli
U U T T T
3–1
Full-time
Wehen
U T T 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

St Pauli Wehen
Last 6 — all competitions · 6/6 matches
Win Ø 9%
0%
17%
Points per game
0,3
1,0
Over 2.5 Ø 25%
33%
17%
Both score Ø 42%
50%
33%
Average goals
2,2
2,3
Scored
0,7
1,0
Conceded
1,5
1,3
Goal diff per game
-0,8
-0,3
This season — 2. Bundesliga · 16/16 matches
Win Ø 19%
19%
19%
Points per game
0,9
0,9
Over 2.5 Ø 47%
38%
56%
Both score Ø 57%
63%
50%
Average goals
2,5
3,2
Scored
1,1
1,2
Conceded
1,4
2,0
Goal diff per game
-0,3
-0,8
🔒 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

12 Shots 6
6 Shots on target 3
3 Corners 4
4 Free kicks against 8
1 Yellow cards 2
0 Red cards 0
The table before the match St Pauli 15. · Wehen 17.
# Team K V U T +/− P
1 Bielefeld 16 9 6 1 +17 33
2 Hamburg 16 8 5 3 +17 29
3 Stuttgart 16 9 2 5 +6 29
4 Heidenheim 16 7 5 4 +7 26
5 Erzgebirge Aue 17 7 5 5 +1 26
6 Osnabruck 16 6 5 5 +5 23
7 Regensburg 17 6 5 6 +3 23
8 Sandhausen 16 5 7 4 +1 22
9 Greuther Furth 16 6 4 6 -1 22
10 Holstein Kiel 16 6 3 7 -1 21
11 Bochum 17 4 8 5 -1 20
12 Karlsruhe 16 4 8 4 -2 20
13 Hannover 17 5 5 7 -8 20
14 Darmstadt 16 4 7 5 -5 19
15 St Pauli 16 3 6 7 -4 15
16 Nurnberg 16 3 6 7 -10 15
17 Wehen 16 3 5 8 -13 14
18 Dresden 16 3 4 9 -12 13

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.

Odds comparison

Green columns are the outcomes that came in.

1X2
H ✓
1,83
U
3,64
B
4,12
Over/under goals
O1,5 ✓
O2,5 ✓
1,68
U2,5
2,16
O3,5 ✓
Both teams to score
BLS ja ✓
BLS nei

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