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Superligaen

Referee: Michael Tykgaard

Horsens

T U T T S

2–1

Full-time

Lyngby

T T U T U

Retrospective analysis — the model is trained only on matches played before this one.

⚠️ One of the teams has played few league matches recently (e.g. newly promoted). The analysis is therefore more uncertain than usual, and we give no recommendations for this match.

🔒 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

Horsens Lyngby

Last 6 — all competitions · 6/6 matches

Win Ø 17%

33%

Points per game

1,2

0,5

Over 2.5 Ø 42%

50%

33%

Both score Ø 67%

67%

Average goals

2,3

2,8

Scored

1,0

Conceded

1,3

1,8

Goal diff per game

-0,3

-0,8

xG created Pro

xG conceded Pro

xG diff Pro

This season — Superligaen · 4/4 matches

Win Ø 13%

25%

Points per game

1,0

0,5

Over 2.5 Ø 50%

50%

Both score Ø 75%

75%

Average goals

2,5

3,3

Scored

1,0

1,3

Conceded

1,5

2,0

Goal diff per game

-0,5

-0,8

xG created Pro

xG conceded Pro

xG diff Pro

🔒 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: 1–0

0,76 xG 2,87

42% Possession 58%

10 Shots 17

5 Shots on target 7

3 Blocked shots 5

6 Goalkeeper saves 4

2 Corners 9

1 Offside 1

21 Free kicks against 10

4 Yellow cards 3

0 Red cards 0

The table before the match Horsens 6. · Lyngby 11. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Nordsjaelland	4	3	1	0	+5	+6.9	10
2	Brondby	4	3	1	0	+4	-1.0	10
3	Midtjylland	4	3	1	0	+3	+1.9	10
4	FC Copenhagen	3	3	0	0	+7	-0.1	9
5	Viborg	4	2	1	1	+1	+1.3	7
6	Horsens	4	1	1	2	-2	-2.4	4
7	Odense	5	1	1	3	-2	-1.0	4
8	Silkeborg	4	1	1	2	-2	-1.1	4
9	Randers FC	5	1	1	3	-4	-4.2	4
10	Aarhus	4	0	3	1	-1	+1.3	3
11	Lyngby	4	0	2	2	-3	+1.7	2
12	Sonderjyske	5	0	1	4	-6	-3.5	1

#	Team	K	V	U	T	+/−	xG +/−	P
1	Brondby	2	2	0	0	+2	-0.4	6
2	Midtjylland	2	2	0	0	+2	+1.6	6
3	Viborg	2	2	0	0	+2	-0.7	6
4	Nordsjaelland	2	2	0	0	+2	+5.1	6
5	Randers FC	3	1	1	1	-2	-1.3	4
6	FC Copenhagen	1	1	0	0	+1	-0.8	3
7	Odense	2	1	0	1	+0	+1.2	3
8	Silkeborg	2	1	0	1	-1	+0.9	3
9	Lyngby	2	0	2	0	+0	+0.9	2
10	Aarhus	2	0	2	0	+0	+1.8	2
11	Horsens	2	0	1	1	-2	-1.3	1
12	Sonderjyske	3	0	1	2	-4	-1.4	1

#	Team	K	V	U	T	+/−	xG +/−	P
1	FC Copenhagen	2	2	0	0	+6	+0.7	6
2	Nordsjaelland	2	1	1	0	+3	+1.8	4
3	Brondby	2	1	1	0	+2	-0.6	4
4	Midtjylland	2	1	1	0	+1	+0.3	4
5	Horsens	2	1	0	1	+0	-1.1	3
6	Aarhus	2	0	1	1	-1	-0.4	1
7	Silkeborg	2	0	1	1	-1	-2.0	1
8	Viborg	2	0	1	1	-1	+2.0	1
9	Odense	3	0	1	2	-2	-2.2	1
10	Sonderjyske	2	0	0	2	-2	-2.2	0
11	Randers FC	2	0	0	2	-2	-2.8	0
12	Lyngby	2	0	0	2	-3	+0.8	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.