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2. Bundesliga

Referee: J Wienefeld

Hertha

S S S T U

1–1

Full-time

Bielefeld

S T 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

Hertha Bielefeld

Last 6 — all competitions · 6/6 matches

Win Ø 42%

67%

17%

Points per game

2,2

0,8

Over 2.5 Ø 42%

33%

50%

Both score Ø 33%

33%

Average goals

3,0

2,3

Scored

2,0

1,2

Conceded

1,0

1,2

Goal diff per game

+1,0

+0,0

xG created Pro

xG conceded Pro

xG diff Pro

This season — 2. Bundesliga · 16/16 matches

Win Ø 41%

50%

31%

Points per game

1,7

1,1

Over 2.5 Ø 47%

38%

56%

Both score Ø 41%

25%

56%

Average goals

2,2

3,1

Scored

1,3

1,6

Conceded

0,9

1,4

Goal diff per game

+0,3

+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: 0–0

0,55 xG 0,86

57% Possession 43%

10 Shots 11

2 Shots on target 6

4 Blocked shots 3

4 Goalkeeper saves 1

3 Corners 4

1 Offside 1

12 Free kicks against 16

3 Yellow cards 2

1 Red cards 0

The table before the match Hertha 7. · Bielefeld 12. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Schalke 04	16	12	1	3	+13	+4.2	37
2	Elversberg	16	10	3	3	+16	-1.9	33
3	Darmstadt	16	9	5	2	+12	+9.6	32
4	Paderborn	16	10	2	4	+10	+4.7	32
5	Hannover	16	8	5	3	+9	+3.9	29
6	Kaiserslautern	16	8	3	5	+9	+1.8	27
7	Hertha	16	8	3	5	+5	-1.6	27
8	Karlsruhe	16	6	3	7	-8	-14.0	21
9	Bochum	16	6	2	8	+1	+4.5	20
10	Preußen Münster	16	5	4	7	-4	-1.7	19
11	Nurnberg	16	5	4	7	-5	+0.1	19
12	Bielefeld	16	5	3	8	+3	+0.4	18
13	Holstein Kiel	16	4	5	7	-3	-6.1	17
14	Braunschweig	16	5	2	9	-10	+2.9	17
15	Greuther Furth	16	4	3	9	-17	-3.5	15
16	Magdeburg	16	4	2	10	-9	+2.4	14
17	Fortuna Dusseldorf	16	4	2	10	-13	-5.2	14
18	Dresden	16	3	4	9	-9	-0.7	13

#	Team	K	V	U	T	+/−	xG +/−	P
1	Darmstadt	9	6	3	0	+10	+8.7	21
2	Schalke 04	8	7	0	1	+6	+2.5	21
3	Kaiserslautern	8	6	1	1	+11	+4.8	19
4	Elversberg	8	5	3	0	+10	-1.4	18
5	Paderborn	8	5	0	3	+2	+0.6	15
6	Karlsruhe	8	5	0	3	+0	-6.4	15
7	Bielefeld	9	4	1	4	+7	+6.0	13
8	Preußen Münster	8	3	4	1	+3	-0.8	13
9	Hannover	8	4	1	3	+1	+4.3	13
10	Hertha	8	4	1	3	-1	+0.6	13
11	Bochum	7	4	0	3	+3	+6.6	12
12	Nurnberg	8	3	3	2	+0	+0.5	12
13	Holstein Kiel	7	2	2	3	+0	-0.5	8
14	Braunschweig	8	2	2	4	-6	+5.1	8
15	Greuther Furth	8	2	2	4	-9	-2.2	8
16	Magdeburg	8	2	1	5	-4	+4.0	7
17	Dresden	8	1	2	5	-4	+3.3	5
18	Fortuna Dusseldorf	8	1	2	5	-8	-3.2	5

#	Team	K	V	U	T	+/−	xG +/−	P
1	Paderborn	8	5	2	1	+8	+4.1	17
2	Hannover	8	4	4	0	+8	-0.4	16
3	Schalke 04	8	5	1	2	+7	+1.7	16
4	Elversberg	8	5	0	3	+6	-0.5	15
5	Hertha	8	4	2	2	+6	-2.3	14
6	Darmstadt	7	3	2	2	+2	+0.9	11
7	Holstein Kiel	9	2	3	4	-3	-5.6	9
8	Braunschweig	8	3	0	5	-4	-2.2	9
9	Fortuna Dusseldorf	8	3	0	5	-5	-2.0	9
10	Bochum	9	2	2	5	-2	-2.1	8
11	Kaiserslautern	8	2	2	4	-2	-3.0	8
12	Dresden	8	2	2	4	-5	-4.0	8
13	Nurnberg	8	2	1	5	-5	-0.4	7
14	Magdeburg	8	2	1	5	-5	-1.6	7
15	Greuther Furth	8	2	1	5	-8	-1.3	7
16	Preußen Münster	8	2	0	6	-7	-0.9	6
17	Karlsruhe	8	1	3	4	-8	-7.6	6
18	Bielefeld	7	1	2	4	-4	-5.5	5

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.