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Bundesliga

Referee: Marco Fritz

Augsburg

U S S S U

1–2

Full-time

Dortmund

S U S S S

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

Augsburg Dortmund

Last 6 — all competitions · 6/6 matches

Win Ø 67%

50%

83%

Points per game

1,8

2,7

Over 2.5 Ø 59%

50%

67%

Both score Ø 25%

33%

17%

Average goals

2,0

3,3

Scored

1,3

3,2

Conceded

0,7

0,2

Goal diff per game

+0,7

+3,0

This season — Bundesliga · 6/6 matches

Win Ø 67%

50%

83%

Points per game

1,8

2,7

Over 2.5 Ø 59%

50%

67%

Both score Ø 25%

33%

17%

Average goals

2,0

3,3

Scored

1,3

3,2

Conceded

0,7

0,2

Goal diff per game

+0,7

+3,0

🔒 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: 1–2

39% Possession 61%

10 Shots 14

5 Shots on target 8

1 Blocked shots 3

6 Goalkeeper saves 4

5 Corners 5

5 Offside 1

23 Free kicks against 12

4 Yellow cards 1

0 Red cards 0

The table before the match Augsburg 5. · Dortmund 1. ▾

#	Team	K	V	U	T	+/−	P
1	Dortmund	6	5	1	0	+18	16
2	Hoffenheim	6	4	2	0	+6	14
3	Bayern Munich	6	4	1	1	+9	13
4	Hannover	6	3	3	0	+4	12
5	Augsburg	6	3	2	1	+4	11
6	RB Leipzig	6	3	1	2	+3	10
7	Schalke 04	7	3	1	3	-1	10
8	Leverkusen	7	2	2	3	+2	8
9	Hertha	6	2	2	2	+0	8
10	M'gladbach	6	2	2	2	-3	8
11	Ein Frankfurt	6	2	1	3	-1	7
12	Stuttgart	6	2	1	3	-4	7
13	Wolfsburg	6	1	3	2	-3	6
14	Mainz	6	2	0	4	-4	6
15	Hamburg	6	2	0	4	-7	6
16	Freiburg	6	0	4	2	-7	4
17	Werder Bremen	6	0	3	3	-4	3
18	FC Koln	6	0	1	5	-12	1

#	Team	K	V	U	T	+/−	P
1	Hoffenheim	4	3	1	0	+5	10
2	Dortmund	3	3	0	0	+12	9
3	Leverkusen	3	2	1	0	+7	7
4	Bayern Munich	3	2	1	0	+6	7
5	RB Leipzig	3	2	1	0	+4	7
6	Augsburg	3	2	1	0	+4	7
7	Hertha	3	2	1	0	+3	7
8	Hannover	3	2	1	0	+3	7
9	Stuttgart	3	2	1	0	+2	7
10	Schalke 04	4	2	1	1	+1	7
11	M'gladbach	3	2	0	1	+2	6
12	Mainz	4	2	0	2	+1	6
13	Freiburg	3	0	3	0	+0	3
14	Hamburg	3	1	0	2	-4	3
15	Wolfsburg	3	0	2	1	-3	2
16	Werder Bremen	3	0	1	2	-3	1
17	Ein Frankfurt	2	0	0	2	-2	0
18	FC Koln	2	0	0	2	-3	0

#	Team	K	V	U	T	+/−	P
1	Dortmund	3	2	1	0	+6	7
2	Ein Frankfurt	4	2	1	1	+1	7
3	Bayern Munich	3	2	0	1	+3	6
4	Hannover	3	1	2	0	+1	5
5	Hoffenheim	2	1	1	0	+1	4
6	Wolfsburg	3	1	1	1	+0	4
7	Augsburg	3	1	1	1	+0	4
8	RB Leipzig	3	1	0	2	-1	3
9	Schalke 04	3	1	0	2	-2	3
10	Hamburg	3	1	0	2	-3	3
11	Werder Bremen	3	0	2	1	-1	2
12	M'gladbach	3	0	2	1	-5	2
13	Hertha	3	0	1	2	-3	1
14	Leverkusen	4	0	1	3	-5	1
15	Freiburg	3	0	1	2	-7	1
16	FC Koln	4	0	1	3	-9	1
17	Mainz	2	0	0	2	-5	0
18	Stuttgart	3	0	0	3	-6	0

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.