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Bundesliga

Referee: F Zwayer

Bochum

U S U T S

1–3

Full-time

Ein Frankfurt

T T S 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

Bochum Ein Frankfurt

Last 6 — all competitions · 6/6 matches

Win Ø 42%

33%

50%

Points per game

1,3

1,5

Over 2.5 Ø 67%

33%

100%

Both score Ø 67%

50%

83%

Average goals

2,5

4,0

Scored

1,3

1,8

Conceded

1,2

2,2

Goal diff per game

+0,2

-0,3

xG created Pro

xG conceded Pro

xG diff Pro

This season — Bundesliga · 25/25 matches

Win Ø 32%

16%

48%

Points per game

0,7

1,7

Over 2.5 Ø 56%

44%

68%

Both score Ø 60%

48%

72%

Average goals

3,0

3,6

Scored

1,0

2,0

Conceded

2,0

1,6

Goal diff per game

-1,0

+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: 0–2

1,46 xG 2,55

51% Possession 49%

17 Shots 18

7 Shots on target 7

3 Blocked shots 6

4 Goalkeeper saves 6

8 Corners 3

7 Offside 2

7 Free kicks against 9

4 Yellow cards 1

0 Red cards 0

The table before the match Bochum 16. · Ein Frankfurt 4. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Bayern Munich	26	19	5	2	+51	+44.9	62
2	Leverkusen	25	15	8	2	+25	+22.5	53
3	Mainz	26	13	6	7	+16	+0.2	45
4	Ein Frankfurt	25	12	6	7	+12	+7.6	42
5	RB Leipzig	26	11	9	6	+8	-5.4	42
6	Freiburg	26	12	6	8	-2	+1.0	42
7	M'gladbach	26	12	4	10	+3	-6.1	40
8	Wolfsburg	26	10	8	8	+9	-1.8	38
9	Augsburg	26	10	8	8	-6	-8.4	38
10	Stuttgart	25	10	7	8	+5	+7.9	37
11	Dortmund	26	10	5	11	+4	+12.7	35
12	Werder Bremen	26	9	6	11	-13	-2.2	33
13	Union Berlin	26	7	7	12	-14	-7.9	28
14	Hoffenheim	26	6	8	12	-16	-14.5	26
15	St Pauli	26	7	4	15	-10	-6.6	25
16	Bochum	25	4	6	15	-25	-18.0	18
17	Holstein Kiel	25	4	5	16	-24	-15.6	17
18	Heidenheim	25	4	4	17	-23	-10.4	16

#	Team	K	V	U	T	+/−	xG +/−	P
1	Bayern Munich	13	11	1	1	+31	+30.3	34
2	Leverkusen	13	8	3	2	+12	+13.8	27
3	Freiburg	12	8	2	2	+11	+3.6	26
4	RB Leipzig	13	7	4	2	+9	+1.9	25
5	Dortmund	13	7	3	3	+15	+12.4	24
6	Ein Frankfurt	13	7	3	3	+11	+10.9	24
7	Mainz	13	6	4	3	+6	+3.3	22
8	Augsburg	13	6	4	3	+3	+3.8	22
9	Stuttgart	13	6	2	5	+7	+9.9	20
10	M'gladbach	13	6	2	5	+4	-0.1	20
11	Union Berlin	13	4	5	4	-1	+2.4	17
12	Wolfsburg	13	3	6	4	+0	+1.3	15
13	Hoffenheim	13	3	4	6	-8	-3.9	13
14	Werder Bremen	13	3	4	6	-8	+1.6	13
15	St Pauli	13	3	3	7	-6	+0.1	12
16	Bochum	12	3	3	6	-7	-2.7	12
17	Holstein Kiel	13	3	2	8	-13	-6.3	11
18	Heidenheim	12	2	1	9	-14	-4.7	7

#	Team	K	V	U	T	+/−	xG +/−	P
1	Bayern Munich	13	8	4	1	+20	+14.6	28
2	Leverkusen	12	7	5	0	+13	+8.7	26
3	Mainz	13	7	2	4	+10	-3.2	23
4	Wolfsburg	13	7	2	4	+9	-3.1	23
5	M'gladbach	13	6	2	5	-1	-6.0	20
6	Werder Bremen	13	6	2	5	-5	-3.8	20
7	Ein Frankfurt	12	5	3	4	+1	-3.3	18
8	RB Leipzig	13	4	5	4	-1	-7.3	17
9	Stuttgart	12	4	5	3	-2	-2.0	17
10	Augsburg	13	4	4	5	-9	-12.2	16
11	Freiburg	14	4	4	6	-13	-2.5	16
12	St Pauli	13	4	1	8	-4	-6.6	13
13	Hoffenheim	13	3	4	6	-8	-10.6	13
14	Dortmund	13	3	2	8	-11	+0.3	11
15	Union Berlin	13	3	2	8	-13	-10.3	11
16	Heidenheim	13	2	3	8	-9	-5.7	9
17	Holstein Kiel	12	1	3	8	-11	-9.3	6
18	Bochum	13	1	3	9	-18	-15.3	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.