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Bundesliga

Referee: Marco Fritz

Hertha

S U T S S

2–2

Full-time

Augsburg

T U T U 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

Hertha Augsburg

Last 6 — all competitions · 6/6 matches

Win Ø 42%

50%

33%

Points per game

1,8

1,3

Over 2.5 Ø 59%

67%

50%

Both score Ø 50%

50%

Average goals

2,0

2,5

Scored

1,3

1,2

Conceded

0,7

1,3

Goal diff per game

+0,7

-0,2

This season — Bundesliga · 31/31 matches

Win Ø 32%

32%

Points per game

1,4

1,3

Over 2.5 Ø 46%

39%

52%

Both score Ø 54%

55%

52%

Average goals

2,4

2,6

Scored

1,2

1,3

Conceded

1,1

1,3

Goal diff per game

+0,1

+0,0

🔒 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: 0–1

55% Possession 45%

8 Shots 12

4 Shots on target 3

1 Blocked shots 2

1 Goalkeeper saves 2

6 Corners 3

1 Offside 0

10 Free kicks against 17

0 Yellow cards 2

0 Red cards 1

The table before the match Hertha 9. · Augsburg 11. ▾

#	Team	K	V	U	T	+/−	P
1	Bayern Munich	31	25	3	3	+62	78
2	Schalke 04	31	16	8	7	+14	56
3	Dortmund	31	15	9	7	+20	54
4	Hoffenheim	32	14	10	8	+18	52
5	Leverkusen	31	14	9	8	+14	51
6	RB Leipzig	31	13	8	10	+0	47
7	Ein Frankfurt	31	13	7	11	+1	46
8	M'gladbach	31	12	7	12	-6	43
9	Hertha	31	10	12	9	+3	42
10	Stuttgart	31	12	6	13	-6	42
11	Augsburg	31	10	10	11	+0	40
12	Werder Bremen	31	9	10	12	-4	37
13	Hannover	32	9	9	14	-11	36
14	Wolfsburg	31	5	15	11	-10	30
15	Mainz	31	7	9	15	-17	30
16	Freiburg	31	6	12	13	-25	30
17	Hamburg	31	6	7	18	-24	25
18	FC Koln	31	5	7	19	-29	22

#	Team	K	V	U	T	+/−	P
1	Bayern Munich	15	13	2	0	+41	41
2	Hoffenheim	16	10	4	2	+20	34
3	Dortmund	16	9	4	3	+20	31
4	Schalke 04	15	9	4	2	+11	31
5	Stuttgart	16	9	4	3	+7	31
6	M'gladbach	16	8	4	4	+6	28
7	RB Leipzig	16	8	4	4	+5	28
8	Leverkusen	15	7	5	3	+10	26
9	Ein Frankfurt	16	7	4	5	+4	25
10	Hannover	16	7	3	6	+1	24
11	Werder Bremen	15	6	5	4	+3	23
12	Augsburg	16	6	4	6	+1	22
13	Hertha	15	5	6	4	+0	21
14	Mainz	15	6	3	6	-1	21
15	Freiburg	15	5	6	4	-3	21
16	Hamburg	16	5	4	7	-3	19
17	Wolfsburg	15	2	8	5	-3	14
18	FC Koln	16	3	5	8	-8	14

#	Team	K	V	U	T	+/−	P
1	Bayern Munich	16	12	1	3	+21	37
2	Leverkusen	16	7	4	5	+4	25
3	Schalke 04	16	7	4	5	+3	25
4	Dortmund	15	6	5	4	+0	23
5	Hertha	16	5	6	5	+3	21
6	Ein Frankfurt	15	6	3	6	-3	21
7	RB Leipzig	15	5	4	6	-5	19
8	Augsburg	15	4	6	5	-1	18
9	Hoffenheim	16	4	6	6	-2	18
10	Wolfsburg	16	3	7	6	-7	16
11	M'gladbach	15	4	3	8	-12	15
12	Werder Bremen	16	3	5	8	-7	14
13	Hannover	16	2	6	8	-12	12
14	Stuttgart	15	3	2	10	-13	11
15	Mainz	16	1	6	9	-16	9
16	Freiburg	16	1	6	9	-22	9
17	FC Koln	15	2	2	11	-21	8
18	Hamburg	15	1	3	11	-21	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.