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2. Bundesliga

Referee: Max Burda

Darmstadt

U T S U S

4–2

Full-time

Greuther Furth

T T T 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

Darmstadt Greuther Furth

Last 6 — all competitions · 6/6 matches

Win Ø 25%

33%

17%

Points per game

1,5

0,7

Over 2.5 Ø 59%

50%

67%

Both score Ø 50%

50%

Average goals

2,7

3,3

Scored

1,7

0,8

Conceded

1,0

2,5

Goal diff per game

+0,7

-1,7

This season — 2. Bundesliga · 12/12 matches

Win Ø 42%

50%

33%

Points per game

1,8

1,1

Over 2.5 Ø 63%

50%

75%

Both score Ø 54%

50%

58%

Average goals

2,5

4,0

Scored

1,6

1,5

Conceded

0,9

2,5

Goal diff per game

+0,7

-1,0

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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The model's top final scores with the best bookmaker odds.

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Match stats

Half-time score: 1–1

2,32 xG 1,35

58% Possession 42%

18 Shots 14

9 Shots on target 8

3 Blocked shots 2

7 Goalkeeper saves 5

5 Corners 2

2 Offside 1

13 Free kicks against 9

2 Yellow cards 3

0 Red cards 0

The table before the match Darmstadt 6. · Greuther Furth 15. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Paderborn	13	9	2	2	+8	+2.0	29
2	Schalke 04	13	9	1	3	+9	+2.9	28
3	Hannover	13	7	3	3	+6	+1.9	24
4	Elversberg	12	7	2	3	+13	-3.0	23
5	Hertha	13	7	2	4	+6	-1.0	23
6	Darmstadt	12	6	4	2	+8	+4.4	22
7	Karlsruhe	12	6	3	3	+1	-3.3	21
8	Kaiserslautern	12	6	2	4	+6	+0.4	20
9	Bielefeld	12	5	2	5	+7	+1.6	17
10	Holstein Kiel	12	4	3	5	+1	-1.0	15
11	Nurnberg	12	4	3	5	-3	+0.5	15
12	Preußen Münster	13	4	3	6	-4	-2.3	15
13	Fortuna Dusseldorf	13	4	2	7	-9	-4.4	14
14	Bochum	13	4	1	8	-3	+3.0	13
15	Greuther Furth	12	4	1	7	-12	-1.3	13
16	Dresden	13	2	4	7	-7	-1.1	10
17	Braunschweig	13	3	1	9	-13	+0.2	10
18	Magdeburg	13	2	1	10	-14	+0.4	7

#	Team	K	V	U	T	+/−	xG +/−	P
1	Karlsruhe	6	5	0	1	+5	-0.9	15
2	Schalke 04	6	5	0	1	+4	+1.7	15
3	Paderborn	7	5	0	2	+3	+0.7	15
4	Elversberg	6	4	2	0	+9	-0.6	14
5	Kaiserslautern	6	4	1	1	+6	+1.3	13
6	Hertha	7	4	1	2	+1	+1.1	13
7	Bielefeld	7	4	0	3	+8	+4.7	12
8	Darmstadt	6	3	3	0	+6	+3.2	12
9	Preußen Münster	7	3	3	1	+3	-2.8	12
10	Bochum	6	3	0	3	+2	+5.2	9
11	Hannover	6	3	0	3	-2	+0.4	9
12	Holstein Kiel	6	2	2	2	+1	+0.1	8
13	Nurnberg	6	2	2	2	-2	-0.2	8
14	Greuther Furth	6	2	1	3	-6	-0.6	7
15	Fortuna Dusseldorf	7	1	2	4	-6	-2.7	5
16	Braunschweig	6	1	1	4	-8	+1.9	4
17	Magdeburg	6	1	0	5	-7	+2.4	3
18	Dresden	6	0	2	4	-4	+1.6	2

#	Team	K	V	U	T	+/−	xG +/−	P
1	Hannover	7	4	3	0	+8	+1.5	15
2	Paderborn	6	4	2	0	+5	+1.3	14
3	Schalke 04	7	4	1	2	+5	+1.2	13
4	Hertha	6	3	1	2	+5	-2.0	10
5	Darmstadt	6	3	1	2	+2	+1.2	10
6	Elversberg	6	3	0	3	+4	-2.5	9
7	Fortuna Dusseldorf	6	3	0	3	-3	-1.8	9
8	Dresden	7	2	2	3	-3	-2.7	8
9	Kaiserslautern	6	2	1	3	+0	-0.8	7
10	Holstein Kiel	6	2	1	3	+0	-1.1	7
11	Nurnberg	6	2	1	3	-1	+0.7	7
12	Karlsruhe	6	1	3	2	-4	-2.4	6
13	Braunschweig	7	2	0	5	-5	-1.8	6
14	Greuther Furth	6	2	0	4	-6	-0.7	6
15	Bielefeld	5	1	2	2	-1	-3.1	5
16	Bochum	7	1	1	5	-5	-2.2	4
17	Magdeburg	7	1	1	5	-7	-2.0	4
18	Preußen Münster	6	1	0	5	-7	+0.5	3

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.