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2. Bundesliga

Referee: Richard Hempel

Greuther Furth

S T S T S

0–3

Full-time

Kaiserslautern

T S S 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

Greuther Furth Kaiserslautern

Last 6 — all competitions · 6/6 matches

Win Ø 59%

67%

50%

Points per game

2,0

1,5

Over 2.5 Ø 67%

67%

Both score Ø 50%

67%

33%

Average goals

4,7

3,3

Scored

2,5

2,0

Conceded

2,2

1,3

Goal diff per game

+0,3

+0,7

This season — 2. Bundesliga · 4/4 matches

Win Ø 50%

50%

Points per game

1,5

Over 2.5 Ø 63%

75%

50%

Both score Ø 63%

75%

50%

Average goals

5,3

2,3

Scored

2,5

1,3

Conceded

2,8

1,0

Goal diff per game

-0,3

+0,3

🔒 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

35% Possession 65%

8 Shots 14

3 Shots on target 6

0 Blocked shots 3

3 Goalkeeper saves 3

4 Corners 5

2 Offside 2

9 Free kicks against 15

1 Yellow cards 6

1 Red cards 0

The table before the match Greuther Furth 11. · Kaiserslautern 10. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Hannover	5	4	0	1	+3	+2.5	12
2	Karlsruhe	5	3	2	0	+4	+0.3	11
3	Bielefeld	5	3	1	1	+7	+1.7	10
4	Darmstadt	5	3	1	1	+3	+0.9	10
5	Elversberg	4	3	0	1	+2	-2.9	9
6	Schalke 04	5	3	0	2	+1	+0.8	9
7	Paderborn	5	2	2	1	+1	+2.8	8
8	Preußen Münster	4	2	1	1	+1	-2.5	7
9	Braunschweig	5	2	1	2	-1	-1.1	7
10	Kaiserslautern	4	2	0	2	+1	-0.2	6
11	Greuther Furth	4	2	0	2	-1	-0.2	6
12	Holstein Kiel	5	2	0	3	-1	+0.1	6
13	Hertha	5	1	2	2	+0	-1.9	5
14	Fortuna Dusseldorf	4	1	1	2	-5	-3.5	4
15	Dresden	4	1	0	3	-2	+1.8	3
16	Bochum	5	1	0	4	-4	+1.8	3
17	Magdeburg	5	1	0	4	-5	-0.5	3
18	Nurnberg	5	0	1	4	-4	+0.1	1

#	Team	K	V	U	T	+/−	xG +/−	P
1	Karlsruhe	3	3	0	0	+4	+0.1	9
2	Darmstadt	3	2	1	0	+4	+0.6	7
3	Bielefeld	3	2	0	1	+5	+2.2	6
4	Kaiserslautern	2	2	0	0	+3	+1.0	6
5	Elversberg	2	2	0	0	+2	-0.4	6
6	Paderborn	3	2	0	1	+1	+0.4	6
7	Schalke 04	3	2	0	1	+1	+1.7	6
8	Hannover	3	2	0	1	+0	+1.2	6
9	Braunschweig	2	1	1	0	+1	+0.3	4
10	Preußen Münster	2	1	1	0	+1	-2.4	4
11	Bochum	2	1	0	1	+1	+2.4	3
12	Greuther Furth	2	1	0	1	-1	+0.1	3
13	Nurnberg	2	0	1	1	-1	-0.4	1
14	Hertha	2	0	1	1	-2	-0.2	1
15	Fortuna Dusseldorf	2	0	1	1	-2	-1.3	1
16	Magdeburg	2	0	0	2	-2	+1.3	0
17	Dresden	2	0	0	2	-2	+1.8	0
18	Holstein Kiel	2	0	0	2	-3	+0.5	0

#	Team	K	V	U	T	+/−	xG +/−	P
1	Hannover	2	2	0	0	+3	+1.3	6
2	Holstein Kiel	3	2	0	1	+2	-0.4	6
3	Hertha	3	1	1	1	+2	-1.7	4
4	Bielefeld	2	1	1	0	+2	-0.5	4
5	Greuther Furth	2	1	0	1	+0	-0.3	3
6	Dresden	2	1	0	1	+0	-0.1	3
7	Preußen Münster	2	1	0	1	+0	-0.1	3
8	Elversberg	2	1	0	1	+0	-2.4	3
9	Schalke 04	2	1	0	1	+0	-1.0	3
10	Darmstadt	2	1	0	1	-1	+0.4	3
11	Braunschweig	3	1	0	2	-2	-1.3	3
12	Fortuna Dusseldorf	2	1	0	1	-3	-2.2	3
13	Magdeburg	3	1	0	2	-3	-1.8	3
14	Paderborn	2	0	2	0	+0	+2.4	2
15	Karlsruhe	2	0	2	0	+0	+0.2	2
16	Kaiserslautern	2	0	0	2	-2	-1.2	0
17	Nurnberg	3	0	0	3	-3	+0.4	0
18	Bochum	3	0	0	3	-5	-0.6	0

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.