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2. Bundesliga

Referee: Justin Joel Hasmann

Heidenheim

S T T S S

1–0

Full-time

Holstein Kiel

U U S T U

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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

Heidenheim Holstein Kiel

Last 6 — all competitions · 6/6 matches

Win Ø 34%

50%

17%

Points per game

1,5

1,0

Over 2.5 Ø 67%

67%

Both score Ø 67%

67%

Average goals

5,0

3,2

Scored

2,2

1,5

Conceded

2,8

1,7

Goal diff per game

-0,7

-0,2

xG created Pro

xG conceded Pro

xG diff Pro

This season — 2. Bundesliga · 4/4 matches

Win Ø 38%

75%

Points per game

2,3

0,8

Over 2.5 Ø 75%

75%

Both score Ø 75%

75%

Average goals

5,3

3,5

Scored

2,8

1,5

Conceded

2,5

2,0

Goal diff per game

+0,3

-0,5

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

51% Possession 49%

19 Shots 13

4 Shots on target 2

3 Blocked shots 4

3 Goalkeeper saves 3

6 Corners 8

4 Offside 1

11 Free kicks against 12

1 Yellow cards 2

0 Red cards 1

The table before the match Heidenheim 4. · Holstein Kiel 18. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Nurnberg	5	4	1	0	+9	-0.1	13
2	Hertha	4	4	0	0	+7	+1.8	12
3	Magdeburg	5	3	0	2	+2	-3.1	9
4	Heidenheim	4	3	0	1	+1	+1.9	9
5	Wolfsburg	5	2	2	1	+3	+3.0	8
6	Kaiserslautern	5	2	2	1	+1	+0.9	8
7	Bochum	5	2	1	2	+0	+1.0	7
8	St Pauli	5	1	3	1	+0	+1.0	6
9	Osnabruck	4	2	0	2	-1	-1.7	6
10	Greuther Furth	5	1	2	2	-2	+0.0	5
11	Karlsruhe	4	1	2	1	-2	-1.5	5
12	Braunschweig	5	1	1	3	+0	+0.9	4
13	Cottbus	4	1	1	2	-2	-4.4	4
14	Bielefeld	5	1	1	3	-2	+3.0	4
15	Hannover	5	1	1	3	-3	+2.7	4
16	Darmstadt	5	1	1	3	-4	-3.9	4
17	Dresden	5	1	1	3	-5	-1.7	4
18	Holstein Kiel	4	0	3	1	-2	+0.3	3

#	Team	K	V	U	T	+/−	xG +/−	P
1	Nurnberg	3	3	0	0	+7	+0.0	9
2	Hertha	2	2	0	0	+4	+1.2	6
3	Heidenheim	2	2	0	0	+3	+2.4	6
4	Magdeburg	3	2	0	1	+0	-3.5	6
5	Bielefeld	2	1	1	0	+3	+3.0	4
6	Kaiserslautern	2	1	1	0	+3	+1.9	4
7	Darmstadt	3	1	1	1	+0	-2.1	4
8	St Pauli	3	1	1	1	+0	+0.6	4
9	Cottbus	2	1	0	1	+1	-0.6	3
10	Dresden	2	1	0	1	+0	+0.3	3
11	Osnabruck	2	1	0	1	-1	-0.2	3
12	Karlsruhe	2	1	0	1	-2	-1.2	3
13	Wolfsburg	2	0	2	0	+0	+1.2	2
14	Holstein Kiel	2	0	2	0	+0	-1.6	2
15	Hannover	2	0	1	1	-1	-0.4	1
16	Bochum	3	0	1	2	-2	+1.2	1
17	Braunschweig	3	0	1	2	-3	-0.7	1
18	Greuther Furth	2	0	0	2	-3	+1.0	0

#	Team	K	V	U	T	+/−	xG +/−	P
1	Hertha	2	2	0	0	+3	+0.6	6
2	Wolfsburg	3	2	0	1	+3	+1.9	6
3	Bochum	2	2	0	0	+2	-0.3	6
4	Greuther Furth	3	1	2	0	+1	-1.0	5
5	Nurnberg	2	1	1	0	+2	-0.1	4
6	Kaiserslautern	3	1	1	1	-2	-1.0	4
7	Braunschweig	2	1	0	1	+3	+1.6	3
8	Magdeburg	2	1	0	1	+2	+0.3	3
9	Osnabruck	2	1	0	1	+0	-1.5	3
10	Hannover	3	1	0	2	-2	+3.1	3
11	Heidenheim	2	1	0	1	-2	-0.5	3
12	St Pauli	2	0	2	0	+0	+0.5	2
13	Karlsruhe	2	0	2	0	+0	-0.3	2
14	Holstein Kiel	2	0	1	1	-2	+1.9	1
15	Cottbus	2	0	1	1	-3	-3.8	1
16	Dresden	3	0	1	2	-5	-2.0	1
17	Darmstadt	2	0	0	2	-4	-1.9	0
18	Bielefeld	3	0	0	3	-5	+0.0	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.