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2. Bundesliga

Referee: M Bacher

Hertha

S T U T T

2–1

Full-time

Greuther Furth

T U S T U

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

Hertha Greuther Furth

Last 6 — all competitions · 6/6 matches

Win Ø 25%

33%

17%

Points per game

1,2

0,8

Over 2.5 Ø 34%

17%

50%

Both score Ø 50%

33%

67%

Average goals

2,2

2,7

Scored

1,2

1,0

Conceded

1,0

1,7

Goal diff per game

+0,2

-0,7

xG created Pro

xG conceded Pro

xG diff Pro

This season — 2. Bundesliga · 32/32 matches

Win Ø 35%

41%

28%

Points per game

1,5

1,1

Over 2.5 Ø 55%

44%

66%

Both score Ø 54%

44%

63%

Average goals

2,5

3,5

Scored

1,4

Conceded

1,2

2,1

Goal diff per game

+0,2

-0,7

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: 0–0

1,02 xG 2,27

35% Possession 65%

8 Shots 29

5 Shots on target 3

0 Blocked shots 12

2 Goalkeeper saves 2

2 Corners 18

3 Offside 5

11 Free kicks against 7

3 Yellow cards 1

1 Red cards 0

The table before the match Hertha 7. · Greuther Furth 17. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Schalke 04	33	20	7	6	+18	+16.6	67
2	Elversberg	32	17	8	7	+24	+8.7	59
3	Hannover	33	16	11	6	+16	+12.5	59
4	Paderborn	33	17	8	8	+12	+13.6	59
5	Darmstadt	32	13	12	7	+14	+1.0	51
6	Kaiserslautern	33	15	4	14	+4	-2.3	49
7	Hertha	32	13	9	10	+7	-1.9	48
8	Nurnberg	33	12	9	12	+2	+1.5	45
9	Karlsruhe	33	12	8	13	-10	-19.7	44
10	Bochum	33	10	11	12	+1	+4.1	41
11	Holstein Kiel	33	11	8	14	-3	-11.6	41
12	Magdeburg	33	12	3	18	-5	+6.8	39
13	Dresden	33	10	8	15	+0	+3.6	38
14	Braunschweig	33	10	7	16	-17	-4.3	37
15	Bielefeld	33	9	9	15	-3	+2.2	36
16	Fortuna Dusseldorf	32	10	4	18	-19	-6.4	34
17	Greuther Furth	32	9	7	16	-21	-10.7	34
18	Preußen Münster	32	6	11	15	-20	-13.7	29

#	Team	K	V	U	T	+/−	xG +/−	P
1	Schalke 04	16	12	3	1	+14	+9.4	39
2	Darmstadt	16	10	5	1	+17	+8.6	35
3	Elversberg	16	10	4	2	+18	+7.3	34
4	Kaiserslautern	17	11	1	5	+16	+4.9	34
5	Paderborn	17	10	3	4	+8	+11.3	33
6	Nurnberg	17	9	4	4	+10	+4.2	31
7	Karlsruhe	16	9	3	4	+6	-3.8	30
8	Bochum	17	8	5	4	+9	+10.7	29
9	Hannover	16	7	5	4	+4	+8.1	26
10	Bielefeld	16	6	5	5	+8	+12.9	23
11	Braunschweig	17	6	5	6	-6	+2.1	23
12	Holstein Kiel	17	6	4	7	+3	+0.0	22
13	Dresden	16	6	3	7	+7	+9.2	21
14	Fortuna Dusseldorf	16	6	3	7	-6	-1.3	21
15	Hertha	16	5	5	6	-3	+0.7	20
16	Greuther Furth	16	5	5	6	-8	-4.0	20
17	Magdeburg	16	5	2	9	-4	+7.3	17
18	Preußen Münster	16	3	7	6	-4	-2.6	16

#	Team	K	V	U	T	+/−	xG +/−	P
1	Hannover	17	9	6	2	+12	+4.4	33
2	Hertha	16	8	4	4	+10	-2.6	28
3	Schalke 04	17	8	4	5	+4	+7.2	28
4	Paderborn	16	7	5	4	+4	+2.3	26
5	Elversberg	16	7	4	5	+6	+1.4	25
6	Magdeburg	17	7	1	9	-1	-0.4	22
7	Holstein Kiel	16	5	4	7	-6	-11.7	19
8	Dresden	17	4	5	8	-7	-5.5	17
9	Darmstadt	16	3	7	6	-3	-7.6	16
10	Kaiserslautern	16	4	3	9	-12	-7.2	15
11	Nurnberg	16	3	5	8	-8	-2.8	14
12	Braunschweig	16	4	2	10	-11	-6.4	14
13	Greuther Furth	16	4	2	10	-13	-6.7	14
14	Karlsruhe	17	3	5	9	-16	-15.9	14
15	Bielefeld	17	3	4	10	-11	-10.7	13
16	Fortuna Dusseldorf	16	4	1	11	-13	-5.1	13
17	Preußen Münster	16	3	4	9	-16	-11.2	13
18	Bochum	16	2	6	8	-8	-6.5	12

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.