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2. Bundesliga

Referee: T Bauer

Karlsruhe

T T T U S

2–2

Full-time

Hertha

S T U U 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

Karlsruhe Hertha

Last 6 — all competitions · 6/6 matches

Win Ø 25%

17%

33%

Points per game

0,7

1,5

Over 2.5 Ø 58%

83%

33%

Both score Ø 50%

50%

Average goals

3,8

3,0

Scored

1,3

1,8

Conceded

2,5

1,2

Goal diff per game

-1,2

+0,7

xG created Pro

xG conceded Pro

xG diff Pro

This season — 2. Bundesliga · 18/18 matches

Win Ø 42%

39%

44%

Points per game

1,4

1,6

Over 2.5 Ø 53%

72%

33%

Both score Ø 39%

50%

28%

Average goals

3,3

2,1

Scored

1,5

1,2

Conceded

1,8

0,9

Goal diff per game

-0,3

+0,3

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: 2–1

2,17 xG 1,92

37% Possession 63%

14 Shots 18

6 Shots on target 6

3 Blocked shots 3

4 Goalkeeper saves 4

3 Corners 5

0 Offside 2

7 Free kicks against 13

3 Yellow cards 2

0 Red cards 0

The table before the match Karlsruhe 9. · Hertha 7. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Schalke 04	18	12	2	4	+12	+5.0	38
2	Darmstadt	19	10	7	2	+14	+6.8	37
3	Elversberg	18	10	4	4	+15	-3.7	34
4	Paderborn	18	10	3	5	+8	+7.3	33
5	Kaiserslautern	18	9	3	6	+10	+1.3	30
6	Hannover	18	8	5	5	+6	+4.9	29
7	Hertha	18	8	5	5	+5	-1.9	29
8	Nurnberg	19	7	4	8	-5	+0.3	25
9	Karlsruhe	18	7	4	7	-6	-14.2	25
10	Holstein Kiel	19	6	6	7	+0	-6.7	24
11	Bochum	18	6	4	8	+1	+4.4	22
12	Bielefeld	19	5	5	9	+2	+0.1	20
13	Magdeburg	18	6	2	10	-5	+6.1	20
14	Preußen Münster	18	5	5	8	-6	-0.4	20
15	Fortuna Dusseldorf	18	6	2	10	-11	-3.5	20
16	Braunschweig	18	6	2	10	-12	-1.0	20
17	Dresden	18	4	4	10	-8	+0.8	16
18	Greuther Furth	18	4	3	11	-20	-5.4	15

#	Team	K	V	U	T	+/−	xG +/−	P
1	Darmstadt	10	7	3	0	+12	+8.5	24
2	Kaiserslautern	10	7	1	2	+12	+4.3	22
3	Schalke 04	8	7	0	1	+6	+2.5	21
4	Elversberg	8	5	3	0	+10	-1.4	18
5	Nurnberg	10	5	3	2	+2	+0.4	18
6	Paderborn	9	5	1	3	+2	+3.1	16
7	Karlsruhe	8	5	0	3	+0	-6.4	15
8	Hertha	10	4	3	3	-1	+0.3	15
9	Bielefeld	10	4	2	4	+7	+6.4	14
10	Bochum	9	4	2	3	+3	+6.6	14
11	Holstein Kiel	9	4	2	3	+3	-0.6	14
12	Preußen Münster	10	3	5	2	+1	+0.4	14
13	Hannover	8	4	1	3	+1	+4.3	13
14	Fortuna Dusseldorf	10	3	2	5	-6	-1.5	11
15	Braunschweig	10	3	2	5	-8	+1.1	11
16	Dresden	9	2	2	5	-2	+4.6	8
17	Greuther Furth	8	2	2	4	-9	-2.2	8
18	Magdeburg	8	2	1	5	-4	+4.0	7

#	Team	K	V	U	T	+/−	xG +/−	P
1	Paderborn	9	5	2	2	+6	+4.1	17
2	Schalke 04	10	5	2	3	+6	+2.5	17
3	Hannover	10	4	4	2	+5	+0.6	16
4	Elversberg	10	5	1	4	+5	-2.3	16
5	Hertha	8	4	2	2	+6	-2.3	14
6	Darmstadt	9	3	4	2	+2	-1.7	13
7	Magdeburg	10	4	1	5	-1	+2.1	13
8	Holstein Kiel	10	2	4	4	-3	-6.1	10
9	Karlsruhe	10	2	4	4	-6	-7.8	10
10	Braunschweig	8	3	0	5	-4	-2.2	9
11	Fortuna Dusseldorf	8	3	0	5	-5	-2.0	9
12	Bochum	9	2	2	5	-2	-2.1	8
13	Kaiserslautern	8	2	2	4	-2	-3.0	8
14	Dresden	9	2	2	5	-6	-3.8	8
15	Nurnberg	9	2	1	6	-7	-0.1	7
16	Greuther Furth	10	2	1	7	-11	-3.2	7
17	Bielefeld	9	1	3	5	-5	-6.3	6
18	Preußen Münster	8	2	0	6	-7	-0.9	6

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.