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Superligaen
Referee: Sandi Putros
Nordsjaelland
U T S S S
1–1
Full-time
Midtjylland
U T S T T

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 Midtjylland
Last 6 — all competitions · 6/6 matches
Win Ø 42%
67%
17%
Points per game
2,2
0,7
Over 2.5 Ø 33%
33%
33%
Both score Ø 33%
33%
33%
Average goals
2,2
2,8
Scored
1,3
1,0
Conceded
0,8
1,8
Goal diff per game
+0,5
-0,8
This season — Superligaen · 8/8 matches
Win Ø 50%
75%
25%
Points per game
2,4
1,1
Over 2.5 Ø 50%
50%
50%
Both score Ø 57%
50%
63%
Average goals
2,6
3,8
Scored
1,8
1,9
Conceded
0,9
1,9
Goal diff per game
+0,9
+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: 1–0

47% Possession 53%
11 Shots 14
5 Shots on target 4
1 Blocked shots 5
3 Goalkeeper saves 4
1 Corners 10
2 Offside 5
15 Free kicks against 7
2 Yellow cards 3
0 Red cards 0
The table before the match Nordsjaelland 1. · Midtjylland 9.
# Team K V U T +/− P
1 Nordsjaelland 8 6 1 1 +7 19
2 Randers FC 8 5 3 0 +7 18
3 Viborg 8 5 0 3 +3 15
4 Silkeborg 8 4 1 3 +4 13
5 Aarhus 8 4 1 3 +3 13
6 FC Copenhagen 9 4 0 5 +1 12
7 Horsens 8 3 2 3 -1 11
8 Odense 9 3 1 5 -7 10
9 Midtjylland 8 2 3 3 +0 9
10 Brondby 8 3 0 5 -5 9
11 Aalborg 8 2 2 4 -3 8
12 Lyngby 8 0 2 6 -9 2

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.

The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.