Gamealyst.com

← Match Finder

2. Bundesliga

Referee: T Stieler

Bielefeld

T S T U S

1–1

Full-time

Bochum

T T S T S

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

🔒 Who wins? Pro

The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.

Unlock with Pro

Already have an account? Log in

Team trends

Bielefeld Bochum

Last 6 — all competitions · 6/6 matches

Win Ø 33%

33%

Points per game

1,3

1,2

Over 2.5 Ø 75%

83%

67%

Both score Ø 92%

100%

83%

Average goals

3,8

3,7

Scored

1,7

Conceded

2,2

2,0

Goal diff per game

-0,5

-0,3

xG created Pro

xG conceded Pro

xG diff Pro

This season — 2. Bundesliga · 31/31 matches

Win Ø 31%

29%

32%

Points per game

1,1

1,3

Over 2.5 Ø 54%

55%

52%

Both score Ø 65%

65%

Average goals

3,0

2,9

Scored

1,5

Conceded

1,5

1,4

Goal diff per game

+0,0

xG created Pro

xG conceded Pro

xG diff Pro

🔒 Goal markets Pro

Expected goals, over/under and both teams to score — priced by the model before kick-off.

Unlock with Pro

Already have an account? Log in

🔒 Most likely result Pro

The model's top final scores with the best bookmaker odds.

Unlock with Pro

Already have an account? Log in

Match stats

Half-time score: 1–0

1,13 xG 0,57

50% Possession 50%

8 Shots 6

3 Shots on target 2

1 Blocked shots 4

1 Goalkeeper saves 2

8 Corners 2

2 Offside 0

6 Free kicks against 14

0 Yellow cards 2

0 Red cards 0

The table before the match Bielefeld 13. · Bochum 10. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Schalke 04	31	19	7	5	+20	+15.8	64
2	Paderborn	31	17	7	7	+16	+14.4	58
3	Hannover	31	16	9	6	+16	+12.6	57
4	Elversberg	31	16	8	7	+20	+7.1	56
5	Darmstadt	31	13	12	6	+15	+2.8	51
6	Hertha	31	13	9	9	+8	-2.1	48
7	Kaiserslautern	31	14	4	13	+3	-1.1	46
8	Nurnberg	31	11	8	12	-1	+1.6	41
9	Karlsruhe	31	11	7	13	-11	-20.6	40
10	Bochum	31	10	9	12	+1	+4.3	39
11	Holstein Kiel	31	10	8	13	-3	-11.6	38
12	Dresden	31	9	8	14	+0	+1.0	35
13	Bielefeld	31	9	8	14	-1	+1.8	35
14	Braunschweig	31	9	7	15	-16	-2.3	34
15	Fortuna Dusseldorf	31	10	4	17	-18	-5.6	34
16	Magdeburg	31	10	3	18	-8	+6.3	33
17	Greuther Furth	31	9	6	16	-21	-10.8	33
18	Preußen Münster	31	6	10	15	-20	-13.5	28

#	Team	K	V	U	T	+/−	xG +/−	P
1	Schalke 04	15	11	3	1	+13	+8.6	36
2	Darmstadt	16	10	5	1	+17	+8.6	35
3	Paderborn	16	10	2	4	+8	+10.5	32
4	Kaiserslautern	16	10	1	5	+14	+4.7	31
5	Elversberg	15	9	4	2	+14	+5.7	31
6	Bochum	16	8	4	4	+9	+10.3	28
7	Nurnberg	16	8	4	4	+7	+4.3	28
8	Karlsruhe	15	8	3	4	+5	-5.6	27
9	Hannover	15	7	4	4	+4	+7.9	25
10	Bielefeld	15	6	4	5	+8	+12.4	22
11	Fortuna Dusseldorf	16	6	3	7	-6	-1.3	21
12	Hertha	16	5	5	6	-3	+0.7	20
13	Braunschweig	16	5	5	6	-7	+3.4	20
14	Holstein Kiel	15	5	4	6	+3	+0.1	19
15	Greuther Furth	15	5	4	6	-8	-4.1	19
16	Dresden	15	5	3	7	+6	+7.8	18
17	Preußen Münster	16	3	7	6	-4	-2.6	16
18	Magdeburg	15	4	2	9	-5	+7.5	14

#	Team	K	V	U	T	+/−	xG +/−	P
1	Hannover	16	9	5	2	+12	+4.8	32
2	Hertha	15	8	4	3	+11	-2.8	28
3	Schalke 04	16	8	4	4	+7	+7.2	28
4	Paderborn	15	7	5	3	+8	+3.9	26
5	Elversberg	16	7	4	5	+6	+1.4	25
6	Magdeburg	16	6	1	9	-3	-1.2	19
7	Holstein Kiel	16	5	4	7	-6	-11.7	19
8	Dresden	16	4	5	7	-6	-6.8	17
9	Darmstadt	15	3	7	5	-2	-5.8	16
10	Kaiserslautern	15	4	3	8	-11	-5.8	15
11	Braunschweig	15	4	2	9	-9	-5.6	14
12	Greuther Furth	16	4	2	10	-13	-6.7	14
13	Nurnberg	15	3	4	8	-8	-2.7	13
14	Bielefeld	16	3	4	9	-9	-10.6	13
15	Fortuna Dusseldorf	15	4	1	10	-12	-4.3	13
16	Karlsruhe	16	3	4	9	-16	-15.1	13
17	Preußen Münster	15	3	3	9	-16	-11.0	12
18	Bochum	15	2	5	8	-8	-6.0	11

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.