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Bundesliga

Referee: Guido Winkmann

Dortmund

S S S T S

2–0

Full-time

FC Ingolstadt 04

T U T T S

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

Dortmund FC Ingolstadt 04

Last 6 — all competitions · 6/6 matches

Win Ø 50%

67%

33%

Points per game

2,0

1,2

Over 2.5 Ø 67%

100%

33%

Both score Ø 67%

100%

33%

Average goals

4,0

2,3

Scored

2,5

0,8

Conceded

1,5

Goal diff per game

+1,0

-0,7

This season — Bundesliga · 18/18 matches

Win Ø 53%

72%

33%

Points per game

2,3

1,3

Over 2.5 Ø 53%

89%

17%

Both score Ø 50%

78%

22%

Average goals

4,1

1,7

Scored

2,8

0,7

Conceded

1,3

1,0

Goal diff per game

+1,4

-0,3

🔒 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: 0–0

66% Possession 34%

11 Shots 5

6 Shots on target 3

1 Blocked shots 0

3 Goalkeeper saves 4

4 Corners 1

3 Offside 2

0 Free kicks against 0

4 Yellow cards 2

0 Red cards 0

The table before the match Dortmund 2. · FC Ingolstadt 04 10. ▾

#	Team	K	V	U	T	+/−	P
1	Bayern Munich	18	16	1	1	+39	49
2	Dortmund	18	13	2	3	+26	41
3	Hertha	18	10	3	5	+8	33
4	M'gladbach	19	9	2	8	+1	29
5	Leverkusen	18	8	4	6	+5	28
6	Mainz	19	8	3	8	+0	27
7	Schalke 04	18	8	3	7	-2	27
8	Wolfsburg	18	7	5	6	+4	26
9	FC Koln	18	6	6	6	-5	24
10	FC Ingolstadt 04	18	6	5	7	-6	23
11	Hamburg	18	6	4	8	-5	22
12	Darmstadt	18	5	6	7	-8	21
13	Augsburg	18	5	5	8	-5	20
14	Ein Frankfurt	18	5	5	8	-6	20
15	Stuttgart	18	5	3	10	-13	18
16	Werder Bremen	18	5	3	10	-13	18
17	Hoffenheim	18	2	8	8	-8	14
18	Hannover	18	4	2	12	-12	14

#	Team	K	V	U	T	+/−	P
1	Bayern Munich	9	9	0	0	+29	27
2	Dortmund	8	7	1	0	+20	22
3	Wolfsburg	9	6	2	1	+14	20
4	Hertha	9	6	2	1	+7	20
5	M'gladbach	10	6	1	3	+4	19
6	Schalke 04	10	5	2	3	+0	17
7	Mainz	10	5	1	4	+1	16
8	Leverkusen	8	4	2	2	+6	14
9	FC Koln	10	3	4	3	-1	13
10	Ein Frankfurt	9	3	3	3	-1	12
11	FC Ingolstadt 04	9	3	2	4	-2	11
12	Stuttgart	9	3	1	5	-7	10
13	Hoffenheim	9	1	5	3	-3	8
14	Hamburg	9	2	2	5	-3	8
15	Augsburg	9	2	2	5	-4	8
16	Darmstadt	9	1	4	4	-8	7
17	Hannover	9	2	0	7	-5	6
18	Werder Bremen	8	1	1	6	-11	4

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