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Bundesliga

Referee: Marco Fritz

Hertha

S S S U U

0–0

Full-time

Dortmund

S S T S 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.

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Team trends

Hertha Dortmund

Last 6 — all competitions · 6/6 matches

Win Ø 67%

50%

83%

Points per game

1,8

2,5

Over 2.5 Ø 67%

50%

83%

Both score Ø 58%

33%

83%

Average goals

2,8

3,7

Scored

1,8

2,7

Conceded

1,0

Goal diff per game

+0,8

+1,7

This season — Bundesliga · 19/19 matches

Win Ø 64%

53%

74%

Points per game

1,8

2,3

Over 2.5 Ø 66%

47%

84%

Both score Ø 61%

47%

74%

Average goals

2,6

4,0

Scored

1,5

2,7

Conceded

1,1

1,3

Goal diff per game

+0,4

+1,5

🔒 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: 0–0

33% Possession 67%

10 Shots 10

4 Shots on target 2

2 Blocked shots 2

2 Goalkeeper saves 4

3 Corners 3

3 Offside 3

0 Free kicks against 0

0 Yellow cards 2

0 Red cards 0

The table before the match Hertha 3. · Dortmund 2. ▾

#	Team	K	V	U	T	+/−	P
1	Bayern Munich	19	17	1	1	+41	52
2	Dortmund	19	14	2	3	+28	44
3	Hertha	19	10	4	5	+8	34
4	M'gladbach	20	10	2	8	+5	32
5	Leverkusen	19	9	4	6	+8	31
6	Schalke 04	19	9	3	7	+0	30
7	Wolfsburg	19	7	6	6	+4	27
8	Mainz	19	8	3	8	+0	27
9	FC Koln	19	6	7	6	-5	25
10	FC Ingolstadt 04	19	6	5	8	-8	23
11	Hamburg	19	6	4	9	-6	22
12	Augsburg	19	5	6	8	-5	21
13	Ein Frankfurt	19	5	6	8	-6	21
14	Darmstadt	19	5	6	8	-10	21
15	Stuttgart	19	6	3	10	-12	21
16	Werder Bremen	20	5	4	11	-17	19
17	Hoffenheim	19	2	8	9	-10	14
18	Hannover	19	4	2	13	-15	14

#	Team	K	V	U	T	+/−	P
1	Bayern Munich	10	10	0	0	+31	30
2	Dortmund	9	8	1	0	+22	25
3	M'gladbach	11	7	1	3	+8	22
4	Wolfsburg	10	6	3	1	+14	21
5	Hertha	9	6	2	1	+7	20
6	Leverkusen	9	5	2	2	+9	17
7	Schalke 04	10	5	2	3	+0	17
8	Mainz	10	5	1	4	+1	16
9	FC Koln	10	3	4	3	-1	13
10	Stuttgart	10	4	1	5	-6	13
11	Ein Frankfurt	9	3	3	3	-1	12
12	FC Ingolstadt 04	9	3	2	4	-2	11
13	Augsburg	10	2	3	5	-4	9
14	Hoffenheim	9	1	5	3	-3	8
15	Hamburg	9	2	2	5	-3	8
16	Darmstadt	10	1	4	5	-10	7
17	Hannover	9	2	0	7	-5	6
18	Werder Bremen	9	1	2	6	-11	5

#	Team	K	V	U	T	+/−	P
1	Bayern Munich	9	7	1	1	+10	22
2	Dortmund	10	6	1	3	+6	19
3	Hertha	10	4	2	4	+1	14
4	Darmstadt	9	4	2	3	+0	14
5	Leverkusen	10	4	2	4	-1	14
6	Hamburg	10	4	2	4	-3	14
7	Werder Bremen	11	4	2	5	-6	14
8	Schalke 04	9	4	1	4	+0	13
9	Augsburg	9	3	3	3	-1	12
10	FC Koln	9	3	3	3	-4	12
11	FC Ingolstadt 04	10	3	3	4	-6	12
12	Mainz	9	3	2	4	-1	11
13	M'gladbach	9	3	1	5	-3	10
14	Ein Frankfurt	10	2	3	5	-5	9
15	Stuttgart	9	2	2	5	-6	8
16	Hannover	10	2	2	6	-10	8
17	Hoffenheim	10	1	3	6	-7	6
18	Wolfsburg	9	1	3	5	-10	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.