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2. Bundesliga

Referee: Robert Kampka

Dresden

T T S S T

2–3

Full-time

Braunschweig

T T T S 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

Dresden Braunschweig

Last 6 — all competitions · 6/6 matches

Win Ø 25%

33%

17%

Points per game

1,0

0,7

Over 2.5 Ø 58%

83%

33%

Both score Ø 58%

83%

33%

Average goals

3,0

2,2

Scored

1,2

0,7

Conceded

1,8

1,5

Goal diff per game

-0,7

-0,8

xG created Pro

xG conceded Pro

xG diff Pro

This season — 2. Bundesliga · 15/15 matches

Win Ø 24%

20%

27%

Points per game

0,9

Over 2.5 Ø 67%

80%

53%

Both score Ø 70%

80%

60%

Average goals

3,3

2,7

Scored

1,4

1,0

Conceded

1,9

1,7

Goal diff per game

-0,5

-0,7

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: 0–2

2,76 xG 2,36

51% Possession 49%

10 Shots 17

8 Shots on target 5

0 Blocked shots 6

2 Goalkeeper saves 6

7 Corners 8

1 Offside 0

8 Free kicks against 13

3 Yellow cards 4

0 Red cards 0

The table before the match Dresden 17. · Braunschweig 14. ▾

#	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	15	8	2	5	+5	-0.8	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	15	5	4	6	-4	+0.0	19
12	Bielefeld	15	5	2	8	+3	-0.4	17
13	Holstein Kiel	15	4	4	7	-3	-5.7	16
14	Braunschweig	15	4	2	9	-11	+3.3	14
15	Fortuna Dusseldorf	15	4	2	9	-12	-6.3	14
16	Greuther Furth	15	4	2	9	-17	-4.3	14
17	Dresden	15	3	4	8	-8	-1.1	13
18	Magdeburg	15	4	1	10	-9	+2.0	13

#	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	8	4	1	3	-1	+0.6	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	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	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	Holstein Kiel	8	2	2	4	-3	-5.3	8
9	Dresden	8	2	2	4	-5	-4.0	8
10	Bochum	8	2	1	5	-2	+0.2	7
11	Kaiserslautern	7	2	1	4	-2	-2.1	7
12	Nurnberg	7	2	1	4	-4	-0.5	7
13	Magdeburg	8	2	1	5	-5	-1.6	7
14	Greuther Furth	8	2	1	5	-8	-1.3	7
15	Braunschweig	7	2	0	5	-5	-1.8	6
16	Preußen Münster	7	2	0	5	-6	+0.1	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.