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Bundesliga

Referee: Florian Meyer

Augsburg

S S U U T

1–3

Full-time

Bayern Munich

S S S S U

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 Bayern Munich

Last 6 — all competitions · 6/6 matches

Win Ø 59%

50%

67%

Points per game

1,8

2,2

Over 2.5 Ø 33%

33%

Both score Ø 33%

33%

Average goals

1,3

2,0

Scored

0,8

1,3

Conceded

0,5

0,7

Goal diff per game

+0,3

+0,7

This season — Bundesliga · 20/20 matches

Win Ø 55%

25%

85%

Points per game

1,1

2,7

Over 2.5 Ø 55%

45%

65%

Both score Ø 43%

50%

35%

Average goals

2,5

3,0

Scored

1,1

2,5

Conceded

1,4

0,5

Goal diff per game

-0,3

+2,1

🔒 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: 0–1

30% Possession 70%

6 Shots 24

1 Shots on target 10

1 Blocked shots 6

7 Goalkeeper saves 0

2 Corners 5

1 Offside 0

0 Free kicks against 0

0 Yellow cards 1

0 Red cards 0

The table before the match Augsburg 14. · Bayern Munich 1. ▾

#	Team	K	V	U	T	+/−	P
1	Bayern Munich	20	17	2	1	+41	53
2	Dortmund	21	15	3	3	+29	48
3	Leverkusen	21	10	5	6	+9	35
4	Hertha	21	10	5	6	+6	35
5	Schalke 04	21	10	3	8	+2	33
6	Mainz	21	10	3	8	+2	33
7	M'gladbach	21	10	2	9	+4	32
8	Wolfsburg	21	8	6	7	+3	30
9	FC Koln	21	7	8	6	-3	29
10	Stuttgart	21	8	3	10	-8	27
11	Hamburg	21	7	5	9	-5	26
12	FC Ingolstadt 04	21	7	5	9	-9	26
13	Darmstadt	21	6	6	9	-9	24
14	Augsburg	20	5	6	9	-6	21
15	Ein Frankfurt	21	5	6	10	-10	21
16	Werder Bremen	21	5	5	11	-17	20
17	Hoffenheim	21	2	9	10	-12	15
18	Hannover	21	4	2	15	-17	14

#	Team	K	V	U	T	+/−	P
1	Bayern Munich	10	10	0	0	+31	30
2	Dortmund	10	9	1	0	+23	28
3	Wolfsburg	11	7	3	1	+16	24
4	M'gladbach	11	7	1	3	+8	22
5	Hertha	10	6	3	1	+7	21
6	Schalke 04	11	6	2	3	+3	20
7	Mainz	11	6	1	4	+2	19
8	Leverkusen	10	5	3	2	+9	18
9	FC Koln	11	4	4	3	+1	16
10	Stuttgart	11	5	1	5	-4	16
11	FC Ingolstadt 04	10	4	2	4	-1	14
12	Hamburg	11	3	3	5	-2	12
13	Ein Frankfurt	10	3	3	4	-3	12
14	Augsburg	10	2	3	5	-4	9
15	Hoffenheim	10	1	5	4	-5	8
16	Darmstadt	11	1	4	6	-11	7
17	Hannover	10	2	0	8	-6	6
18	Werder Bremen	10	1	3	6	-11	6

#	Team	K	V	U	T	+/−	P
1	Bayern Munich	10	7	2	1	+10	23
2	Dortmund	11	6	2	3	+6	20
3	Darmstadt	10	5	2	3	+2	17
4	Leverkusen	11	5	2	4	+0	17
5	Mainz	10	4	2	4	+0	14
6	Hertha	11	4	2	5	-1	14
7	Hamburg	10	4	2	4	-3	14
8	Werder Bremen	11	4	2	5	-6	14
9	Schalke 04	10	4	1	5	-1	13
10	FC Koln	10	3	4	3	-4	13
11	Augsburg	10	3	3	4	-2	12
12	FC Ingolstadt 04	11	3	3	5	-8	12
13	Stuttgart	10	3	2	5	-4	11
14	M'gladbach	10	3	1	6	-4	10
15	Ein Frankfurt	11	2	3	6	-7	9
16	Hannover	11	2	2	7	-11	8
17	Hoffenheim	11	1	4	6	-7	7
18	Wolfsburg	10	1	3	6	-13	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.