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Superligaen

Odense

U S T U S

1–2

Full-time

Randers FC

T T S T 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

Odense Randers FC

Last 6 — all competitions · 6/6 matches

Win Ø 25%

33%

17%

Points per game

1,5

0,8

Over 2.5 Ø 50%

67%

33%

Both score Ø 67%

67%

Average goals

3,5

2,5

Scored

2,2

1,0

Conceded

1,3

1,5

Goal diff per game

+0,8

-0,5

This season — Superligaen · 11/11 matches

Win Ø 36%

27%

45%

Points per game

1,3

1,6

Over 2.5 Ø 46%

55%

36%

Both score Ø 69%

73%

64%

Average goals

3,1

2,4

Scored

1,6

1,3

Conceded

1,5

1,1

Goal diff per game

+0,2

🔒 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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The table before the match Odense 6. · Randers FC 5. ▾

#	Team	K	V	U	T	+/−	P
1	Midtjylland	12	9	1	2	+16	28
2	FC Copenhagen	11	7	3	1	+17	24
3	Aalborg	11	6	3	2	+9	21
4	Silkeborg	12	4	6	2	+4	18
5	Randers FC	11	5	3	3	+2	18
6	Odense	11	3	5	3	+2	14
7	Nordsjaelland	12	4	2	6	-5	14
8	Brondby	11	2	6	3	-1	12
9	Viborg	12	2	6	4	-4	12
10	Aarhus	11	3	3	5	-7	12
11	Sonderjyske	11	2	2	7	-11	8
12	Vejle	11	0	2	9	-22	2

#	Team	K	V	U	T	+/−	P
1	Midtjylland	6	5	0	1	+12	15
2	Aalborg	5	4	0	1	+8	12
3	Silkeborg	6	3	2	1	+5	11
4	FC Copenhagen	6	2	3	1	+3	9
5	Randers FC	6	2	3	1	+0	9
6	Odense	5	2	2	1	+5	8
7	Brondby	5	2	2	1	+2	8
8	Nordsjaelland	6	2	2	2	-1	8
9	Aarhus	6	2	2	2	-1	8
10	Sonderjyske	5	2	1	2	-2	7
11	Viborg	6	1	2	3	-2	5
12	Vejle	6	0	2	4	-9	2

#	Team	K	V	U	T	+/−	P
1	FC Copenhagen	5	5	0	0	+14	15
2	Midtjylland	6	4	1	1	+4	13
3	Randers FC	5	3	0	2	+2	9
4	Aalborg	6	2	3	1	+1	9
5	Silkeborg	6	1	4	1	-1	7
6	Viborg	6	1	4	1	-2	7
7	Odense	6	1	3	2	-3	6
8	Nordsjaelland	6	2	0	4	-4	6
9	Brondby	6	0	4	2	-3	4
10	Aarhus	5	1	1	3	-6	4
11	Sonderjyske	6	0	1	5	-9	1
12	Vejle	5	0	0	5	-13	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.