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Superligaen
Silkeborg
T T T T U
3–3
Full-time
Sonderjyske
S U S 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

Silkeborg Sonderjyske
Last 6 — all competitions · 5/5 matches
Win Ø 20%
0%
40%
Points per game
0,2
1,6
Over 2.5 Ø 80%
100%
60%
Both score Ø 60%
60%
60%
Average goals
3,8
2,2
Scored
1,0
1,4
Conceded
2,8
0,8
Goal diff per game
-1,8
+0,6
This season — Superligaen · 5/5 matches
Win Ø 20%
0%
40%
Points per game
0,2
1,6
Over 2.5 Ø 80%
100%
60%
Both score Ø 60%
60%
60%
Average goals
3,8
2,2
Scored
1,0
1,4
Conceded
2,8
0,8
Goal diff per game
-1,8
+0,6
🔒 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 Silkeborg 14. · Sonderjyske 6.
# Team K V U T +/− P
1 FC Copenhagen 6 6 0 0 +8 18
2 Midtjylland 5 5 0 0 +6 15
3 Brondby 5 3 1 1 +5 10
4 Nordsjaelland 6 3 1 2 +4 10
5 Odense 6 3 0 3 +1 9
6 Sonderjyske 5 2 2 1 +3 8
7 Aalborg 5 2 1 2 +3 7
8 Hobro 5 1 3 1 -1 6
9 Horsens 5 2 0 3 -3 6
10 Lyngby 5 2 0 3 -5 6
11 Randers FC 6 1 2 3 -1 5
12 Aarhus 5 0 2 3 -3 2
13 Esbjerg 5 0 1 4 -8 1
14 Silkeborg 5 0 1 4 -9 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.