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Superligaen
Referee: Sandi Putros
FC Copenhagen
S T S T S
1–3
Full-time
Randers FC
T U U U S

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

FC Copenhagen Randers FC
Last 6 — all competitions · 6/6 matches
Win Ø 42%
67%
17%
Points per game
2,0
1,0
Over 2.5 Ø 50%
67%
33%
Both score Ø 50%
50%
50%
Average goals
3,5
2,3
Scored
2,3
1,0
Conceded
1,2
1,3
Goal diff per game
+1,2
-0,3
This season — Superligaen · 4/4 matches
Win Ø 38%
50%
25%
Points per game
1,5
1,5
Over 2.5 Ø 50%
75%
25%
Both score Ø 63%
75%
50%
Average goals
4,0
1,8
Scored
2,3
1,0
Conceded
1,8
0,8
Goal diff per game
+0,5
+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%
17 Shots 9
8 Shots on target 4
2 Blocked shots 3
1 Goalkeeper saves 7
7 Corners 4
2 Offside 2
4 Free kicks against 11
2 Yellow cards 4
0 Red cards 0
The table before the match FC Copenhagen 6. · Randers FC 7.
# Team K V U T +/− P
1 Nordsjaelland 4 4 0 0 +6 12
2 Silkeborg 4 3 1 0 +6 10
3 Horsens 5 2 2 1 +1 8
4 Aarhus 4 2 1 1 +2 7
5 Midtjylland 5 1 3 1 +2 6
6 FC Copenhagen 4 2 0 2 +2 6
7 Randers FC 4 1 3 0 +1 6
8 Viborg 4 2 0 2 +0 6
9 Brondby 4 1 0 3 -6 3
10 Lyngby 4 0 2 2 -2 2
11 Aalborg 4 0 1 3 -5 1
12 Odense 4 0 1 3 -7 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.

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