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2. Bundesliga

Bochum

T U T U T

2–2

Full-time

Dresden

T T S U U

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

⚠️ One of the teams has played few league matches recently (e.g. newly promoted). The analysis is therefore more uncertain than usual, and we give no recommendations for this match.

🔒 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

Bochum Dresden

Last 6 — all competitions · 5/5 matches

Win Ø 10%

20%

Points per game

0,4

1,0

Over 2.5 Ø 70%

80%

60%

Both score Ø 70%

80%

60%

Average goals

4,0

3,2

Scored

1,6

1,4

Conceded

2,4

1,8

Goal diff per game

-0,8

-0,4

This season — 2. Bundesliga · 5/5 matches

Win Ø 10%

20%

Points per game

0,4

1,0

Over 2.5 Ø 70%

80%

60%

Both score Ø 70%

80%

60%

Average goals

4,0

3,2

Scored

1,6

1,4

Conceded

2,4

1,8

Goal diff per game

-0,8

-0,4

🔒 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: 0–0

23 Shots 7

7 Shots on target 5

7 Corners 1

11 Free kicks against 15

2 Yellow cards 3

0 Red cards 0

The table before the match Bochum 17. · Dresden 13. ▾

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

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

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

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.