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2. Bundesliga

Referee: R Kampka

Hertha

S S U S U

1–0

Full-time

Greuther Furth

U T U T T

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 Greuther Furth

Last 6 — all competitions · 6/6 matches

Win Ø 34%

67%

Points per game

2,3

0,3

Over 2.5 Ø 42%

50%

33%

Both score Ø 58%

83%

33%

Average goals

3,3

2,3

Scored

2,3

0,7

Conceded

1,0

1,7

Goal diff per game

+1,3

-1,0

This season — 2. Bundesliga · 31/31 matches

Win Ø 32%

35%

29%

Points per game

1,3

1,1

Over 2.5 Ø 61%

61%

Both score Ø 63%

68%

58%

Average goals

3,1

Scored

1,5

1,3

Conceded

1,5

1,8

Goal diff per game

+0,0

-0,5

🔒 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: 1–0

51% Possession 49%

11 Shots 13

3 Shots on target 1

2 Blocked shots 4

1 Goalkeeper saves 2

8 Corners 3

10 Offside 1

15 Free kicks against 13

2 Yellow cards 1

0 Red cards 0

The table before the match Hertha 11. · Greuther Furth 14. ▾

#	Team	K	V	U	T	+/−	P
1	Hamburg	32	15	11	6	+30	56
2	FC Koln	32	16	7	9	+10	55
3	Paderborn	32	14	10	8	+12	52
4	Magdeburg	32	13	11	8	+11	50
5	Fortuna Dusseldorf	32	13	11	8	+5	50
6	Elversberg	31	13	10	8	+21	49
7	Hannover	32	13	10	9	+5	49
8	Kaiserslautern	31	14	7	10	+4	49
9	Karlsruhe	31	13	8	10	-1	47
10	Nurnberg	31	13	6	12	+3	45
11	Hertha	31	11	7	13	-1	40
12	Darmstadt	32	10	9	13	+0	39
13	Schalke 04	32	10	8	14	-7	38
14	Greuther Furth	31	9	8	14	-14	35
15	Braunschweig	32	8	11	13	-20	35
16	Preußen Münster	32	7	11	14	-5	32
17	Ulm	32	6	11	15	-7	29
18	Regensburg	32	6	6	20	-46	24

#	Team	K	V	U	T	+/−	P
1	Hannover	16	8	6	2	+8	30
2	Kaiserslautern	16	8	5	3	+11	29
3	Hamburg	16	7	7	2	+19	28
4	FC Koln	16	8	4	4	+11	28
5	Elversberg	16	8	3	5	+11	27
6	Karlsruhe	15	8	3	4	+4	27
7	Nurnberg	15	8	2	5	+5	26
8	Darmstadt	16	7	4	5	+7	25
9	Paderborn	16	7	3	6	+6	24
10	Fortuna Dusseldorf	16	6	5	5	+0	23
11	Braunschweig	16	6	5	5	-1	23
12	Regensburg	16	6	4	6	-5	22
13	Schalke 04	16	6	3	7	-3	21
14	Greuther Furth	16	5	5	6	-5	20
15	Magdeburg	16	4	7	5	-3	19
16	Ulm	16	4	4	8	-1	16
17	Preußen Münster	16	3	7	6	-2	16
18	Hertha	15	3	4	8	-5	13

#	Team	K	V	U	T	+/−	P
1	Magdeburg	16	9	4	3	+14	31
2	Hamburg	16	8	4	4	+11	28
3	Paderborn	16	7	7	2	+6	28
4	Fortuna Dusseldorf	16	7	6	3	+5	27
5	Hertha	16	8	3	5	+4	27
6	FC Koln	16	8	3	5	-1	27
7	Elversberg	15	5	7	3	+10	22
8	Karlsruhe	16	5	5	6	-5	20
9	Kaiserslautern	15	6	2	7	-7	20
10	Nurnberg	16	5	4	7	-2	19
11	Hannover	16	5	4	7	-3	19
12	Schalke 04	16	4	5	7	-4	17
13	Preußen Münster	16	4	4	8	-3	16
14	Greuther Furth	15	4	3	8	-9	15
15	Darmstadt	16	3	5	8	-7	14
16	Ulm	16	2	7	7	-6	13
17	Braunschweig	16	2	6	8	-19	12
18	Regensburg	16	0	2	14	-41	2

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.