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Superligaen

Nordsjaelland

U S T T T

0–1

Full-time

Brondby

S S T S 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

Nordsjaelland Brondby

Last 6 — all competitions · 6/6 matches

Win Ø 50%

17%

83%

Points per game

0,8

2,5

Over 2.5 Ø 67%

50%

83%

Both score Ø 83%

83%

Average goals

2,7

3,5

Scored

1,2

2,3

Conceded

1,5

1,2

Goal diff per game

-0,3

+1,2

This season — Superligaen · 13/13 matches

Win Ø 50%

31%

69%

Points per game

1,2

2,1

Over 2.5 Ø 70%

54%

85%

Both score Ø 85%

85%

Average goals

3,2

3,5

Scored

1,7

2,0

Conceded

1,5

Goal diff per game

+0,2

+0,5

🔒 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 Nordsjaelland 8. · Brondby 2. ▾

#	Team	K	V	U	T	+/−	P
1	Midtjylland	14	8	3	3	+8	27
2	Brondby	13	9	0	4	+7	27
3	Randers FC	14	8	1	5	+12	25
4	Aarhus	14	7	4	3	+10	25
5	Sonderjyske	14	7	3	4	+5	24
6	FC Copenhagen	14	7	2	5	+2	23
7	Aalborg	14	5	4	5	-4	19
8	Nordsjaelland	13	4	4	5	+3	16
9	Odense	14	4	4	6	-3	16
10	Vejle	14	4	4	6	-6	16
11	Lyngby	14	1	4	9	-17	7
12	Horsens	14	1	3	10	-17	6

#	Team	K	V	U	T	+/−	P
1	Midtjylland	7	5	1	1	+9	16
2	Aarhus	7	5	0	2	+10	15
3	Brondby	6	5	0	1	+7	15
4	Nordsjaelland	6	4	1	1	+8	13
5	Sonderjyske	7	4	1	2	+4	13
6	Odense	8	3	3	2	+1	12
7	Aalborg	7	3	2	2	+0	11
8	Randers FC	7	3	1	3	+3	10
9	FC Copenhagen	7	3	1	3	+2	10
10	Vejle	7	2	2	3	-3	8
11	Horsens	7	1	2	4	-6	5
12	Lyngby	7	0	4	3	-7	4

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

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.