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

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 Erzgebirge Aue
Last 6 — all competitions · 6/6 matches
Win Ø 25%
17%
33%
Points per game
1,0
1,2
Over 2.5 Ø 50%
33%
67%
Both score Ø 50%
33%
67%
Average goals
2,2
2,8
Scored
0,7
1,2
Conceded
1,5
1,7
Goal diff per game
-0,8
-0,5
This season — 2. Bundesliga · 30/30 matches
Win Ø 32%
27%
37%
Points per game
1,2
1,4
Over 2.5 Ø 48%
43%
53%
Both score Ø 53%
53%
53%
Average goals
2,5
2,7
Scored
1,2
1,3
Conceded
1,3
1,4
Goal diff per game
-0,1
-0,1
🔒 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: 2–0

8 Shots 18
4 Shots on target 4
4 Corners 4
20 Free kicks against 17
2 Yellow cards 2
0 Red cards 0
The table before the match St Pauli 13. · Erzgebirge Aue 9.
# Team K V U T +/− P
1 Bielefeld 30 15 13 2 +27 58
2 Hamburg 31 14 11 6 +21 53
3 Stuttgart 30 15 7 8 +14 52
4 Heidenheim 31 14 9 8 +11 51
5 Darmstadt 30 10 13 7 +1 43
6 Bochum 31 10 12 9 +3 42
7 Greuther Furth 31 11 9 11 +2 42
8 Hannover 30 11 9 10 +1 42
9 Erzgebirge Aue 30 11 8 11 -2 41
10 Sandhausen 31 9 13 9 -1 40
11 Holstein Kiel 31 10 9 12 -2 39
12 Regensburg 31 10 9 12 -6 39
13 St Pauli 30 8 11 11 -4 35
14 Osnabruck 31 8 11 12 -5 35
15 Nurnberg 31 7 12 12 -13 33
16 Wehen 31 8 7 16 -14 31
17 Karlsruhe 30 6 12 12 -12 30
18 Dresden 30 7 7 16 -21 28

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 ✓
1,93
U
3,43
B
3,87
Over/under goals
O1,5 ✓
O2,5 ✓
1,91
U2,5
1,88
U3,5 ✓
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.