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2. Bundesliga

Referee: Eric-Dominic Weisbach

Braunschweig

T T T T S

1–1

Full-time

Holstein Kiel

T S T T U

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

Braunschweig Holstein Kiel

Last 6 — all competitions · 6/6 matches

Win Ø 33%

33%

Points per game

1,0

1,2

Over 2.5 Ø 42%

50%

33%

Both score Ø 33%

33%

Average goals

2,3

1,8

Scored

0,8

0,7

Conceded

1,5

1,2

Goal diff per game

-0,7

-0,5

xG created Pro

xG conceded Pro

xG diff Pro

This season — 2. Bundesliga · 14/14 matches

Win Ø 29%

29%

Points per game

0,9

1,1

Over 2.5 Ø 47%

57%

36%

Both score Ø 54%

57%

50%

Average goals

2,8

2,2

Scored

1,0

Conceded

1,8

1,2

Goal diff per game

-0,8

-0,2

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: 1–1

2,61 xG 0,71

37% Possession 63%

20 Shots 11

3 Shots on target 2

8 Blocked shots 3

1 Goalkeeper saves 2

2 Corners 4

2 Offside 3

13 Free kicks against 17

1 Yellow cards 5

1 Red cards 1

The table before the match Braunschweig 16. · Holstein Kiel 13. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Schalke 04	15	11	1	3	+12	+4.3	34
2	Elversberg	15	9	3	3	+15	-0.8	30
3	Darmstadt	15	8	5	2	+11	+8.6	29
4	Paderborn	15	9	2	4	+6	+1.1	29
5	Hannover	15	8	4	3	+9	+1.6	28
6	Kaiserslautern	15	8	2	5	+9	+2.7	26
7	Hertha	14	8	2	4	+7	-0.4	26
8	Karlsruhe	15	6	3	6	-4	-10.3	21
9	Bochum	15	6	1	8	+1	+6.8	19
10	Preußen Münster	15	5	4	6	-3	-0.7	19
11	Nurnberg	14	5	3	6	-4	+0.4	18
12	Bielefeld	15	5	2	8	+3	-0.4	17
13	Holstein Kiel	14	4	3	7	-3	-3.8	15
14	Fortuna Dusseldorf	15	4	2	9	-12	-6.3	14
15	Dresden	15	3	4	8	-8	-1.1	13
16	Braunschweig	14	4	1	9	-11	+1.4	13
17	Greuther Furth	14	4	1	9	-17	-4.7	13
18	Magdeburg	14	3	1	10	-11	+1.6	10

#	Team	K	V	U	T	+/−	xG +/−	P
1	Kaiserslautern	8	6	1	1	+11	+4.8	19
2	Darmstadt	8	5	3	0	+9	+7.7	18
3	Schalke 04	7	6	0	1	+5	+2.6	18
4	Elversberg	7	4	3	0	+9	-0.3	15
5	Karlsruhe	7	5	0	2	+4	-2.7	15
6	Paderborn	8	5	0	3	+2	+0.6	15
7	Preußen Münster	8	3	4	1	+3	-0.8	13
8	Hertha	7	4	1	2	+1	+1.1	13
9	Bielefeld	8	4	0	4	+7	+5.1	12
10	Bochum	7	4	0	3	+3	+6.6	12
11	Hannover	7	4	0	3	+1	+2.0	12
12	Nurnberg	7	3	2	2	+0	+0.9	11
13	Holstein Kiel	7	2	2	3	+0	-0.5	8
14	Braunschweig	7	2	1	4	-6	+3.2	7
15	Greuther Furth	7	2	1	4	-9	-3.0	7
16	Magdeburg	7	2	0	5	-4	+3.6	6
17	Dresden	7	1	2	4	-3	+2.9	5
18	Fortuna Dusseldorf	8	1	2	5	-8	-3.2	5

#	Team	K	V	U	T	+/−	xG +/−	P
1	Hannover	8	4	4	0	+8	-0.4	16
2	Schalke 04	8	5	1	2	+7	+1.7	16
3	Elversberg	8	5	0	3	+6	-0.5	15
4	Paderborn	7	4	2	1	+4	+0.5	14
5	Hertha	7	4	1	2	+6	-1.5	13
6	Darmstadt	7	3	2	2	+2	+0.9	11
7	Fortuna Dusseldorf	7	3	0	4	-4	-3.1	9
8	Dresden	8	2	2	4	-5	-4.0	8
9	Bochum	8	2	1	5	-2	+0.2	7
10	Kaiserslautern	7	2	1	4	-2	-2.1	7
11	Holstein Kiel	7	2	1	4	-3	-3.4	7
12	Nurnberg	7	2	1	4	-4	-0.5	7
13	Braunschweig	7	2	0	5	-5	-1.8	6
14	Preußen Münster	7	2	0	5	-6	+0.1	6
15	Greuther Furth	7	2	0	5	-8	-1.7	6
16	Karlsruhe	8	1	3	4	-8	-7.6	6
17	Bielefeld	7	1	2	4	-4	-5.5	5
18	Magdeburg	7	1	1	5	-7	-2.0	4

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.