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2. Bundesliga

Referee: R Schroder

Dresden

U S T T S

2–0

Full-time

Bochum

S U T 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

Dresden Bochum

Last 6 — all competitions · 6/6 matches

Win Ø 42%

50%

33%

Points per game

1,7

1,2

Over 2.5 Ø 75%

67%

83%

Both score Ø 75%

50%

100%

Average goals

3,7

4,2

Scored

2,5

2,0

Conceded

1,2

2,2

Goal diff per game

+1,3

-0,2

xG created Pro

xG conceded Pro

xG diff Pro

This season — 2. Bundesliga · 29/29 matches

Win Ø 30%

28%

31%

Points per game

1,1

1,2

Over 2.5 Ø 62%

72%

52%

Both score Ø 69%

72%

66%

Average goals

3,2

2,9

Scored

1,6

1,5

Conceded

1,6

1,4

Goal diff per game

+0,0

+0,1

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

1,44 xG 0,65

51% Possession 49%

9 Shots 13

6 Shots on target 5

2 Blocked shots 2

5 Goalkeeper saves 4

4 Corners 5

9 Free kicks against 15

0 Yellow cards 2

0 Red cards 0

The table before the match Dresden 12. · Bochum 10. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Schalke 04	29	17	7	5	+16	+12.6	58
2	Paderborn	29	17	6	6	+17	+14.2	57
3	Elversberg	30	16	7	7	+20	+7.2	55
4	Hannover	29	15	8	6	+14	+13.6	53
5	Darmstadt	29	13	11	5	+16	+4.2	50
6	Hertha	29	13	8	8	+9	-4.4	47
7	Kaiserslautern	30	14	4	12	+5	-1.0	46
8	Karlsruhe	30	11	7	12	-9	-20.4	40
9	Nurnberg	29	10	7	12	-2	+0.4	37
10	Bochum	29	9	9	11	+2	+5.0	36
11	Holstein Kiel	30	9	8	13	-4	-10.0	35
12	Dresden	29	8	8	13	+0	+0.1	32
13	Bielefeld	29	8	7	14	-2	+2.2	31
14	Fortuna Dusseldorf	29	9	4	16	-18	-5.2	31
15	Magdeburg	29	9	3	17	-9	+7.3	30
16	Braunschweig	29	8	6	15	-18	-1.6	30
17	Greuther Furth	29	8	6	15	-21	-12.3	30
18	Preußen Münster	29	6	10	13	-16	-11.9	28

#	Team	K	V	U	T	+/−	xG +/−	P
1	Darmstadt	15	10	4	1	+17	+8.5	34
2	Schalke 04	14	10	3	1	+10	+6.4	33
3	Paderborn	15	10	2	3	+9	+11.5	32
4	Kaiserslautern	15	10	1	4	+16	+4.8	31
5	Elversberg	15	9	4	2	+14	+5.7	31
6	Karlsruhe	14	8	3	3	+7	-5.3	27
7	Bochum	15	7	4	4	+8	+10.2	25
8	Nurnberg	15	7	4	4	+6	+2.9	25
9	Hannover	14	7	3	4	+4	+9.1	24
10	Bielefeld	14	6	3	5	+8	+12.2	21
11	Hertha	15	5	5	5	-2	-1.0	20
12	Holstein Kiel	15	5	4	6	+3	+0.1	19
13	Braunschweig	15	5	4	6	-7	+4.1	19
14	Fortuna Dusseldorf	15	5	3	7	-8	-1.2	18
15	Preußen Münster	15	3	7	5	-3	-3.2	16
16	Greuther Furth	14	4	4	6	-9	-5.7	16
17	Dresden	14	4	3	7	+4	+7.0	15
18	Magdeburg	14	3	2	9	-7	+7.1	11

#	Team	K	V	U	T	+/−	xG +/−	P
1	Hannover	15	8	5	2	+10	+4.5	29
2	Hertha	14	8	3	3	+11	-3.5	27
3	Paderborn	14	7	4	3	+8	+2.7	25
4	Schalke 04	15	7	4	4	+6	+6.2	25
5	Elversberg	15	7	3	5	+6	+1.5	24
6	Magdeburg	15	6	1	8	-2	+0.1	19
7	Dresden	15	4	5	6	-4	-6.9	17
8	Darmstadt	14	3	7	4	-1	-4.2	16
9	Holstein Kiel	15	4	4	7	-7	-10.0	16
10	Kaiserslautern	15	4	3	8	-11	-5.8	15
11	Greuther Furth	15	4	2	9	-12	-6.6	14
12	Fortuna Dusseldorf	14	4	1	9	-10	-4.0	13
13	Karlsruhe	16	3	4	9	-16	-15.1	13
14	Nurnberg	14	3	3	8	-8	-2.5	12
15	Preußen Münster	14	3	3	8	-13	-8.8	12
16	Bochum	14	2	5	7	-6	-5.2	11
17	Braunschweig	14	3	2	9	-11	-5.7	11
18	Bielefeld	15	2	4	9	-10	-10.0	10

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.