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2. Bundesliga
St Pauli
T T T T U
0–3
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 Fortuna Dusseldorf
Last 6 — all competitions · 6/6 matches
Win Ø 34%
0%
67%
Points per game
0,3
2,2
Over 2.5 Ø 67%
67%
67%
Both score Ø 50%
50%
50%
Average goals
2,8
3,2
Scored
0,8
1,7
Conceded
2,0
1,5
Goal diff per game
-1,2
+0,2
This season — 2. Bundesliga · 11/12 matches
Win Ø 30%
9%
50%
Points per game
0,7
1,7
Over 2.5 Ø 70%
73%
67%
Both score Ø 57%
64%
50%
Average goals
3,3
2,8
Scored
1,4
1,3
Conceded
1,9
1,5
Goal diff per game
-0,5
-0,2
🔒 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: 0–1

9 Shots 18
5 Shots on target 9
4 Corners 5
10 Free kicks against 13
1 Yellow cards 2
0 Red cards 0
The table before the match St Pauli 17. · Fortuna Dusseldorf 5.
# Team K V U T +/− P
1 Holstein Kiel 12 7 4 1 +9 25
2 Greuther Furth 13 7 3 3 +10 24
3 Bochum 13 7 2 4 +10 23
4 Hamburg 12 7 2 3 +9 23
5 Fortuna Dusseldorf 12 6 2 4 -2 20
6 Erzgebirge Aue 12 5 4 3 +6 19
7 Heidenheim 13 5 4 4 +1 19
8 Osnabruck 13 5 4 4 -1 19
9 Darmstadt 13 5 3 5 +2 18
10 Paderborn 13 5 3 5 +2 18
11 Hannover 13 5 2 6 +1 17
12 Regensburg 13 4 5 4 +0 17
13 Nurnberg 12 4 4 4 +3 16
14 Karlsruhe 12 5 1 6 +1 16
15 Braunschweig 13 3 3 7 -16 12
16 Sandhausen 12 3 2 7 -13 11
17 St Pauli 11 1 5 5 -6 8
18 Wurzburger Kickers 12 1 1 10 -16 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
2,58
U
3,34
B ✓
2,64
Over/under goals
O1,5 ✓
O2,5 ✓
1,92
U2,5
1,87
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.