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Superligaen
2–2
Full-time
Silkeborg
T T T T

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

Nordsjaelland Silkeborg
Last 6 — all competitions · 4/4 matches
Win Ø 25%
50%
0%
Points per game
1,5
0,0
Over 2.5 Ø 88%
75%
100%
Both score Ø 50%
50%
50%
Average goals
3,0
3,8
Scored
1,8
0,8
Conceded
1,3
3,0
Goal diff per game
+0,5
-2,3
This season — Superligaen · 4/4 matches
Win Ø 25%
50%
0%
Points per game
1,5
0,0
Over 2.5 Ø 88%
75%
100%
Both score Ø 50%
50%
50%
Average goals
3,0
3,8
Scored
1,8
0,8
Conceded
1,3
3,0
Goal diff per game
+0,5
-2,3
🔒 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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The table before the match Nordsjaelland 6. · Silkeborg 14.
# Team K V U T +/− P
1 FC Copenhagen 5 5 0 0 +7 15
2 Midtjylland 4 4 0 0 +4 12
3 Odense 5 3 0 2 +3 9
4 Brondby 4 2 1 1 +3 7
5 Sonderjyske 4 2 1 1 +3 7
6 Nordsjaelland 4 2 0 2 +2 6
7 Hobro 4 1 3 0 +1 6
8 Horsens 4 2 0 2 -1 6
9 Lyngby 5 2 0 3 -5 6
10 Randers FC 5 1 2 2 +0 5
11 Aalborg 4 1 1 2 -1 4
12 Aarhus 4 0 1 3 -3 1
13 Esbjerg 4 0 1 3 -4 1
14 Silkeborg 4 0 0 4 -9 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.

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