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2. Bundesliga

Referee: F Bickel

Greuther Furth

U S S T S

0–2

Full-time

Holstein Kiel

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

Greuther Furth Holstein Kiel

Last 6 — all competitions · 6/6 matches

Win Ø 42%

50%

33%

Points per game

1,7

1,0

Over 2.5 Ø 59%

50%

67%

Both score Ø 59%

67%

50%

Average goals

3,3

2,8

Scored

1,8

1,2

Conceded

1,5

1,7

Goal diff per game

+0,3

-0,5

xG created Pro

xG conceded Pro

xG diff Pro

This season — 2. Bundesliga · 2/2 matches

Win Ø 25%

50%

Points per game

1,5

0,0

Over 2.5 Ø 75%

100%

50%

Both score Ø 75%

100%

50%

Average goals

5,0

2,5

Scored

2,5

0,5

Conceded

2,5

2,0

Goal diff per game

+0,0

-1,5

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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: 0–1

55% Possession 45%

15 Shots 17

2 Shots on target 4

4 Blocked shots 4

2 Goalkeeper saves 2

6 Corners 3

1 Offside 4

13 Free kicks against 18

3 Yellow cards 8

0 Red cards 0

The table before the match Greuther Furth 10. · Holstein Kiel 17. ▾

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

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

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