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2. Bundesliga

St Pauli

S U T T U

1–1

Full-time

Bochum

U S U T S

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 Bochum

Last 6 — all competitions · 6/6 matches

Win Ø 25%

17%

33%

Points per game

1,0

1,5

Over 2.5 Ø 50%

17%

83%

Both score Ø 75%

50%

100%

Average goals

2,0

4,0

Scored

1,0

2,2

Conceded

1,0

1,8

Goal diff per game

+0,0

+0,3

This season — 2. Bundesliga · 12/12 matches

Win Ø 21%

25%

17%

Points per game

1,2

1,0

Over 2.5 Ø 63%

42%

83%

Both score Ø 80%

67%

92%

Average goals

2,7

4,0

Scored

1,3

1,9

Conceded

1,3

2,1

Goal diff per game

+0,0

-0,2

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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: 1–1

13 Shots 11

4 Shots on target 4

12 Corners 3

12 Free kicks against 11

1 Yellow cards 2

0 Red cards 0

The table before the match St Pauli 9. · Bochum 16. ▾

#	Team	K	V	U	T	+/−	P
1	Hamburg	12	7	4	1	+18	25
2	Bielefeld	12	7	4	1	+11	25
3	Stuttgart	12	7	2	3	+3	23
4	Erzgebirge Aue	12	5	4	3	+1	19
5	Greuther Furth	12	5	3	4	-1	18
6	Heidenheim	12	4	5	3	+3	17
7	Regensburg	12	4	4	4	+4	16
8	Karlsruhe	12	3	6	3	-2	15
9	St Pauli	12	3	5	4	+0	14
10	Sandhausen	12	3	5	4	-1	14
11	Nurnberg	12	3	5	4	-2	14
12	Holstein Kiel	12	4	2	6	-3	14
13	Hannover	12	3	5	4	-4	14
14	Darmstadt	12	3	5	4	-4	14
15	Osnabruck	12	3	4	5	+1	13
16	Bochum	12	2	6	4	-2	12
17	Wehen	12	2	4	6	-11	10
18	Dresden	12	2	3	7	-11	9

#	Team	K	V	U	T	+/−	P
1	Hamburg	6	5	1	0	+14	16
2	Stuttgart	7	5	0	2	+5	15
3	Erzgebirge Aue	6	4	2	0	+6	14
4	Greuther Furth	6	4	0	2	+1	12
5	St Pauli	6	3	1	2	+2	10
6	Heidenheim	6	3	1	2	+2	10
7	Darmstadt	5	2	3	0	+3	9
8	Bielefeld	6	2	3	1	+2	9
9	Sandhausen	6	2	3	1	+1	9
10	Osnabruck	6	2	2	2	+4	8
11	Bochum	6	1	5	0	+2	8
12	Karlsruhe	5	2	2	1	+1	8
13	Regensburg	6	2	2	2	+0	8
14	Holstein Kiel	6	2	2	2	+0	8
15	Dresden	6	2	1	3	-2	7
16	Nurnberg	6	1	4	1	-3	7
17	Wehen	7	1	2	4	-10	5
18	Hannover	6	0	4	2	-6	4

#	Team	K	V	U	T	+/−	P
1	Bielefeld	6	5	1	0	+9	16
2	Hannover	6	3	1	2	+2	10
3	Hamburg	6	2	3	1	+4	9
4	Regensburg	6	2	2	2	+4	8
5	Stuttgart	5	2	2	1	-2	8
6	Nurnberg	6	2	1	3	+1	7
7	Heidenheim	6	1	4	1	+1	7
8	Karlsruhe	7	1	4	2	-3	7
9	Greuther Furth	6	1	3	2	-2	6
10	Holstein Kiel	6	2	0	4	-3	6
11	Wehen	5	1	2	2	-1	5
12	Sandhausen	6	1	2	3	-2	5
13	Osnabruck	6	1	2	3	-3	5
14	Erzgebirge Aue	6	1	2	3	-5	5
15	Darmstadt	7	1	2	4	-7	5
16	St Pauli	6	0	4	2	-2	4
17	Bochum	6	1	1	4	-4	4
18	Dresden	6	0	2	4	-9	2

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.