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Bundesliga

Referee: D Aytekin

Hamburg

S S S S S

0–2

Full-time

Hertha

S U T T T

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

Hamburg Hertha

Last 6 — all competitions · 6/6 matches

Win Ø 67%

100%

33%

Points per game

3,0

1,2

Over 2.5 Ø 58%

83%

33%

Both score Ø 50%

50%

Average goals

3,7

2,0

Scored

2,8

1,0

Conceded

0,8

1,0

Goal diff per game

+2,0

+0,0

This season — Bundesliga · 1/35 matches

Win Ø 63%

100%

26%

Points per game

3,0

0,9

Over 2.5 Ø 32%

63%

Both score Ø 30%

60%

Average goals

1,0

3,1

Scored

1,0

1,1

Conceded

0,0

2,1

Goal diff per game

+1,0

-1,0

🔒 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: 0–1

60% Possession 40%

10 Shots 17

3 Shots on target 7

4 Blocked shots 3

5 Goalkeeper saves 3

4 Corners 4

2 Offside 5

9 Free kicks against 13

0 Yellow cards 4

0 Red cards 1

The table before the match ▾

#	Team	K	V	U	T	+/−	P
1	Bayern Munich	34	24	5	5	+60	77
2	Dortmund	34	22	3	9	+33	69
3	Leverkusen	34	19	7	8	+33	64
4	RB Leipzig	34	17	7	10	+35	58
5	Union Berlin	34	16	9	9	+6	57
6	Freiburg	34	15	10	9	+12	55
7	FC Koln	34	14	10	10	+3	52
8	Mainz	34	13	7	14	+5	46
9	Hoffenheim	34	13	7	14	-2	46
10	M'gladbach	34	12	9	13	-7	45
11	Ein Frankfurt	34	10	12	12	-4	42
12	Wolfsburg	34	12	6	16	-11	42
13	Bochum	34	12	6	16	-14	42
14	Augsburg	34	10	8	16	-17	38
15	Stuttgart	34	7	12	15	-18	33
16	Hertha	35	9	6	20	-35	33
17	Bielefeld	34	5	13	16	-26	28
18	Greuther Furth	34	3	9	22	-54	18

#	Team	K	V	U	T	+/−	P
1	Bayern Munich	17	13	2	2	+33	41
2	Dortmund	17	13	0	4	+24	39
3	RB Leipzig	17	11	2	4	+26	35
4	Mainz	17	10	5	2	+22	35
5	Union Berlin	17	10	5	2	+8	35
6	Leverkusen	17	10	2	5	+16	32
7	FC Koln	17	9	4	4	+6	31
8	Freiburg	17	8	5	4	+7	29
9	Hoffenheim	17	8	4	5	+10	28
10	M'gladbach	17	8	4	5	+6	28
11	Bochum	17	8	4	5	+4	28
12	Augsburg	17	7	4	6	-1	25
13	Wolfsburg	17	7	3	7	+4	24
14	Stuttgart	17	6	4	7	-4	22
15	Hertha	18	6	3	9	-10	21
16	Ein Frankfurt	17	4	7	6	-2	19
17	Bielefeld	17	2	10	5	-8	16
18	Greuther Furth	17	3	5	9	-18	14

#	Team	K	V	U	T	+/−	P
1	Bayern Munich	17	11	3	3	+27	36
2	Leverkusen	17	9	5	3	+17	32
3	Dortmund	17	9	3	5	+9	30
4	Freiburg	17	7	5	5	+5	26
5	RB Leipzig	17	6	5	6	+9	23
6	Ein Frankfurt	17	6	5	6	-2	23
7	Union Berlin	17	6	4	7	-2	22
8	FC Koln	17	5	6	6	-3	21
9	Hoffenheim	17	5	3	9	-12	18
10	Wolfsburg	17	5	3	9	-15	18
11	M'gladbach	17	4	5	8	-13	17
12	Bochum	17	4	2	11	-18	14
13	Augsburg	17	3	4	10	-16	13
14	Bielefeld	17	3	3	11	-18	12
15	Hertha	17	3	3	11	-25	12
16	Stuttgart	17	1	8	8	-14	11
17	Mainz	17	3	2	12	-17	11
18	Greuther Furth	17	0	4	13	-36	4

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.