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

Retrospective analysis — the model is trained only on matches played before this one.

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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 17%
0%
33%
Points per game
0,3
1,3
Over 2.5 Ø 50%
67%
33%
Both score Ø 42%
50%
33%
Average goals
2,8
2,3
Scored
0,8
1,3
Conceded
2,0
1,0
Goal diff per game
-1,2
+0,3
This season — 2. Bundesliga · 10/10 matches
Win Ø 25%
10%
40%
Points per game
0,7
1,5
Over 2.5 Ø 60%
70%
50%
Both score Ø 50%
60%
40%
Average goals
3,2
2,5
Scored
1,3
1,4
Conceded
1,9
1,1
Goal diff per game
-0,6
+0,3
🔒 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: 0–1

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

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
2,35
U ✓
3,38
B
2,92
Over/under goals
O1,5 ✓
O2,5 ✓
1,76
U2,5
2,04
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.