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2. Bundesliga

Referee: M P Eckermann

Bochum

T S T S U

2–2

Full-time

Karlsruhe

T T T T T

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

Bochum Karlsruhe

Last 6 — all competitions · 6/6 matches

Win Ø 34%

50%

17%

Points per game

1,7

0,5

Over 2.5 Ø 67%

33%

100%

Both score Ø 34%

17%

50%

Average goals

1,8

4,0

Scored

1,2

1,0

Conceded

0,7

3,0

Goal diff per game

+0,5

-2,0

xG created Pro

xG conceded Pro

xG diff Pro

This season — 2. Bundesliga · 16/16 matches

Win Ø 38%

38%

Points per game

1,3

Over 2.5 Ø 63%

50%

75%

Both score Ø 50%

50%

Average goals

2,6

3,4

Scored

1,3

1,4

Conceded

1,3

1,9

Goal diff per game

+0,1

-0,5

xG created Pro

xG conceded Pro

xG diff Pro

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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: 1–0

1,59 xG 1,63

37% Possession 63%

11 Shots 11

4 Shots on target 6

2 Blocked shots 3

4 Goalkeeper saves 2

3 Corners 3

1 Offside 5

7 Free kicks against 10

2 Yellow cards 0

0 Red cards 0

The table before the match Bochum 9. · Karlsruhe 8. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Schalke 04	16	12	1	3	+13	+4.2	37
2	Elversberg	16	10	3	3	+16	-1.9	33
3	Darmstadt	17	9	6	2	+12	+7.0	33
4	Paderborn	17	10	3	4	+10	+7.3	33
5	Hannover	16	8	5	3	+9	+3.9	29
6	Hertha	17	8	4	5	+5	-1.9	28
7	Kaiserslautern	16	8	3	5	+9	+1.8	27
8	Karlsruhe	16	6	3	7	-8	-14.0	21
9	Bochum	16	6	2	8	+1	+4.5	20
10	Bielefeld	17	5	4	8	+3	+0.7	19
11	Preußen Münster	16	5	4	7	-4	-1.7	19
12	Nurnberg	16	5	4	7	-5	+0.1	19
13	Holstein Kiel	16	4	5	7	-3	-6.1	17
14	Braunschweig	16	5	2	9	-10	+2.9	17
15	Greuther Furth	16	4	3	9	-17	-3.5	15
16	Magdeburg	16	4	2	10	-9	+2.4	14
17	Fortuna Dusseldorf	16	4	2	10	-13	-5.2	14
18	Dresden	16	3	4	9	-9	-0.7	13

#	Team	K	V	U	T	+/−	xG +/−	P
1	Darmstadt	9	6	3	0	+10	+8.7	21
2	Schalke 04	8	7	0	1	+6	+2.5	21
3	Kaiserslautern	8	6	1	1	+11	+4.8	19
4	Elversberg	8	5	3	0	+10	-1.4	18
5	Paderborn	9	5	1	3	+2	+3.1	16
6	Karlsruhe	8	5	0	3	+0	-6.4	15
7	Hertha	9	4	2	3	-1	+0.3	14
8	Bielefeld	9	4	1	4	+7	+6.0	13
9	Preußen Münster	8	3	4	1	+3	-0.8	13
10	Hannover	8	4	1	3	+1	+4.3	13
11	Bochum	7	4	0	3	+3	+6.6	12
12	Nurnberg	8	3	3	2	+0	+0.5	12
13	Holstein Kiel	7	2	2	3	+0	-0.5	8
14	Braunschweig	8	2	2	4	-6	+5.1	8
15	Greuther Furth	8	2	2	4	-9	-2.2	8
16	Magdeburg	8	2	1	5	-4	+4.0	7
17	Dresden	8	1	2	5	-4	+3.3	5
18	Fortuna Dusseldorf	8	1	2	5	-8	-3.2	5

#	Team	K	V	U	T	+/−	xG +/−	P
1	Paderborn	8	5	2	1	+8	+4.1	17
2	Hannover	8	4	4	0	+8	-0.4	16
3	Schalke 04	8	5	1	2	+7	+1.7	16
4	Elversberg	8	5	0	3	+6	-0.5	15
5	Hertha	8	4	2	2	+6	-2.3	14
6	Darmstadt	8	3	3	2	+2	-1.7	12
7	Holstein Kiel	9	2	3	4	-3	-5.6	9
8	Braunschweig	8	3	0	5	-4	-2.2	9
9	Fortuna Dusseldorf	8	3	0	5	-5	-2.0	9
10	Bochum	9	2	2	5	-2	-2.1	8
11	Kaiserslautern	8	2	2	4	-2	-3.0	8
12	Dresden	8	2	2	4	-5	-4.0	8
13	Nurnberg	8	2	1	5	-5	-0.4	7
14	Magdeburg	8	2	1	5	-5	-1.6	7
15	Greuther Furth	8	2	1	5	-8	-1.3	7
16	Bielefeld	8	1	3	4	-4	-5.2	6
17	Preußen Münster	8	2	0	6	-7	-0.9	6
18	Karlsruhe	8	1	3	4	-8	-7.6	6

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.