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2. Bundesliga

Referee: Jarno Wienefeld

Kaiserslautern

U S S S T

1–0

Full-time

Braunschweig

T T T 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

Kaiserslautern Braunschweig

Last 6 — all competitions · 6/6 matches

Win Ø 34%

50%

17%

Points per game

1,8

0,7

Over 2.5 Ø 67%

50%

83%

Both score Ø 50%

17%

83%

Average goals

1,7

5,0

Scored

1,0

2,3

Conceded

0,7

2,7

Goal diff per game

+0,3

-0,3

xG created Pro

xG conceded Pro

xG diff Pro

This season — 2. Bundesliga · 5/5 matches

Win Ø 30%

40%

20%

Points per game

1,6

0,8

Over 2.5 Ø 70%

60%

80%

Both score Ø 50%

20%

80%

Average goals

1,8

4,8

Scored

1,0

2,4

Conceded

0,8

2,4

Goal diff per game

+0,2

+0,0

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: 0–0

55% Possession 45%

23 Shots 15

10 Shots on target 4

4 Blocked shots 9

4 Goalkeeper saves 8

8 Corners 5

3 Offside 1

11 Free kicks against 6

1 Yellow cards 2

0 Red cards 0

The table before the match Kaiserslautern 6. · Braunschweig 13. ▾

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

#	Team	K	V	U	T	+/−	xG +/−	P
1	Nurnberg	3	3	0	0	+7	+0.0	9
2	Heidenheim	3	3	0	0	+4	+2.4	9
3	Hertha	2	2	0	0	+4	+1.2	6
4	Magdeburg	3	2	0	1	+0	-3.5	6
5	Wolfsburg	3	1	2	0	+4	+1.2	5
6	Bielefeld	2	1	1	0	+3	+3.0	4
7	Kaiserslautern	2	1	1	0	+3	+1.9	4
8	Darmstadt	3	1	1	1	+0	-2.1	4
9	St Pauli	3	1	1	1	+0	+0.6	4
10	Cottbus	2	1	0	1	+1	-0.6	3
11	Dresden	2	1	0	1	+0	+0.3	3
12	Osnabruck	3	1	0	2	-3	-0.2	3
13	Karlsruhe	3	1	0	2	-5	-1.2	3
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	3	0	1	2	-3	+1.0	1

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