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2. Bundesliga

Referee: Felix Prigan

Holstein Kiel

S T S S T

1–1

Full-time

Darmstadt

U T S S 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

Holstein Kiel Darmstadt

Last 6 — all competitions · 6/6 matches

Win Ø 67%

67%

Points per game

2,0

2,2

Over 2.5 Ø 50%

33%

67%

Both score Ø 34%

17%

50%

Average goals

2,0

2,5

Scored

1,5

1,7

Conceded

0,5

0,8

Goal diff per game

+1,0

+0,8

xG created Pro

xG conceded Pro

xG diff Pro

This season — 2. Bundesliga · 7/7 matches

Win Ø 57%

43%

71%

Points per game

1,3

2,3

Over 2.5 Ø 50%

43%

57%

Both score Ø 36%

29%

43%

Average goals

2,1

2,6

Scored

1,1

1,9

Conceded

1,0

0,7

Goal diff per game

+0,1

+1,1

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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

61% Possession 39%

22 Shots 8

7 Shots on target 1

4 Blocked shots 1

0 Goalkeeper saves 5

5 Corners 0

4 Offside 2

9 Free kicks against 13

1 Yellow cards 1

0 Red cards 0

The table before the match Holstein Kiel 11. · Darmstadt 2. ▾

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

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

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