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Superligaen
Referee: Peter Kjaersgaard-Andersen
Aalborg
T U U S S
1–3
Full-time
Viborg
U 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

Aalborg Viborg
Last 6 — all competitions · 6/6 matches
Win Ø 33%
33%
33%
Points per game
1,5
1,7
Over 2.5 Ø 33%
33%
33%
Both score Ø 67%
67%
67%
Average goals
2,3
2,0
Scored
1,3
1,2
Conceded
1,0
0,8
Goal diff per game
+0,3
+0,3
This season — Superligaen · 13/13 matches
Win Ø 35%
23%
46%
Points per game
1,1
1,7
Over 2.5 Ø 42%
38%
46%
Both score Ø 58%
54%
62%
Average goals
2,1
2,3
Scored
0,9
1,3
Conceded
1,2
1,0
Goal diff per game
-0,2
+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: 1–1

51% Possession 49%
6 Shots 12
2 Shots on target 5
0 Blocked shots 2
2 Goalkeeper saves 1
1 Corners 4
2 Offside 0
8 Free kicks against 16
2 Yellow cards 2
0 Red cards 0
The table before the match Aalborg 11. · Viborg 3.
# Team K V U T +/− P
1 Nordsjaelland 14 8 4 2 +10 28
2 Randers FC 14 6 5 3 +3 23
3 Viborg 13 6 4 3 +4 22
4 Silkeborg 14 6 3 5 +4 21
5 Midtjylland 14 5 6 3 +3 21
6 Odense 14 5 4 5 -3 19
7 Aarhus 14 5 3 6 +2 18
8 FC Copenhagen 14 5 3 6 +1 18
9 Horsens 14 5 3 6 -2 18
10 Brondby 14 4 5 5 -4 17
11 Aalborg 13 3 5 5 -3 14
12 Lyngby 14 0 5 9 -15 5

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.