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2. Bundesliga

Referee: Bastian Dankert

Hertha

S S T S S

2–0

Full-time

Dresden

U T U U T

Retrospective analysis — the model is trained only on matches played before this one.

🔒 Who wins? Pro

The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.

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Team trends

Hertha Dresden

Last 6 — all competitions · 6/6 matches

Win Ø 34%

67%

Points per game

2,0

0,7

Over 2.5 Ø 75%

67%

83%

Both score Ø 58%

33%

83%

Average goals

2,8

3,8

Scored

1,8

1,7

Conceded

1,0

2,2

Goal diff per game

+0,8

-0,5

This season — 2. Bundesliga · 10/10 matches

Win Ø 25%

40%

10%

Points per game

1,4

0,7

Over 2.5 Ø 65%

50%

80%

Both score Ø 55%

30%

80%

Average goals

2,2

3,5

Scored

1,2

1,5

Conceded

1,0

2,0

Goal diff per game

+0,2

-0,5

🔒 Goal markets Pro

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: 2–0

1,64 xG 0,63

48% Possession 52%

11 Shots 13

6 Shots on target 4

2 Blocked shots 3

4 Goalkeeper saves 4

3 Corners 5

0 Offside 1

16 Free kicks against 9

0 Yellow cards 0

0 Red cards 0

The table before the match Hertha 8. · Dresden 16. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Schalke 04	10	8	0	2	+9	+0.8	24
2	Elversberg	11	7	2	2	+14	-3.0	23
3	Paderborn	10	7	2	1	+8	+2.8	23
4	Hannover	11	6	3	2	+5	+2.6	21
5	Kaiserslautern	10	6	1	3	+7	-0.2	19
6	Darmstadt	10	5	3	2	+7	+0.9	18
7	Karlsruhe	10	5	3	2	+4	+0.3	18
8	Hertha	10	4	2	4	+2	-1.9	14
9	Preußen Münster	11	4	2	5	-3	-1.8	14
10	Bielefeld	10	4	1	5	+3	+1.7	13
11	Holstein Kiel	11	3	3	5	+0	-0.6	12
12	Braunschweig	10	3	1	6	-9	-1.1	10
13	Fortuna Dusseldorf	10	3	1	6	-9	-3.5	10
14	Greuther Furth	10	3	1	6	-12	-0.2	10
15	Nurnberg	10	2	3	5	-5	+0.1	9
16	Dresden	10	1	4	5	-5	+1.8	7
17	Bochum	10	2	1	7	-6	+1.8	7
18	Magdeburg	10	2	1	7	-10	-0.5	7

#	Team	K	V	U	T	+/−	xG +/−	P
1	Elversberg	6	4	2	0	+9	-0.6	14
2	Kaiserslautern	5	4	1	0	+7	+1.0	13
3	Paderborn	5	4	0	1	+4	+0.4	12
4	Karlsruhe	5	4	0	1	+4	+0.1	12
5	Schalke 04	5	4	0	1	+3	+1.7	12
6	Darmstadt	5	3	2	0	+6	+0.6	11
7	Preußen Münster	6	3	2	1	+3	-1.7	11
8	Bielefeld	6	3	0	3	+4	+2.2	9
9	Hannover	5	3	0	2	-1	+1.2	9
10	Hertha	5	2	1	2	-2	-0.2	7
11	Bochum	4	2	0	2	+1	+2.4	6
12	Holstein Kiel	5	1	2	2	+0	+0.5	5
13	Nurnberg	5	1	2	2	-3	-0.4	5
14	Braunschweig	5	1	1	3	-6	+0.3	4
15	Greuther Furth	5	1	1	3	-7	+0.1	4
16	Magdeburg	5	1	0	4	-6	+1.3	3
17	Dresden	5	0	2	3	-3	+1.8	2
18	Fortuna Dusseldorf	5	0	1	4	-7	-1.3	1

#	Team	K	V	U	T	+/−	xG +/−	P
1	Hannover	6	3	3	0	+6	+1.5	12
2	Schalke 04	5	4	0	1	+6	-1.0	12
3	Paderborn	5	3	2	0	+4	+2.4	11
4	Elversberg	5	3	0	2	+5	-2.4	9
5	Fortuna Dusseldorf	5	3	0	2	-2	-2.2	9
6	Hertha	5	2	1	2	+4	-1.7	7
7	Darmstadt	5	2	1	2	+1	+0.4	7
8	Holstein Kiel	6	2	1	3	+0	-1.1	7
9	Karlsruhe	5	1	3	1	+0	+0.2	6
10	Kaiserslautern	5	2	0	3	+0	-1.2	6
11	Braunschweig	5	2	0	3	-3	-1.3	6
12	Greuther Furth	5	2	0	3	-5	-0.3	6
13	Dresden	5	1	2	2	-2	-0.1	5
14	Bielefeld	4	1	1	2	-1	-0.5	4
15	Nurnberg	5	1	1	3	-2	+0.4	4
16	Magdeburg	5	1	1	3	-4	-1.8	4
17	Preußen Münster	5	1	0	4	-6	-0.1	3
18	Bochum	6	0	1	5	-7	-0.6	1

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.