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Superligaen
Silkeborg
U U U T T
2–3
Full-time
Lyngby
T T S 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

Silkeborg Lyngby
Last 6 — all competitions · 6/6 matches
Win Ø 17%
0%
33%
Points per game
0,5
1,0
Over 2.5 Ø 67%
83%
50%
Both score Ø 50%
67%
33%
Average goals
4,0
2,3
Scored
1,5
0,8
Conceded
2,5
1,5
Goal diff per game
-1,0
-0,7
This season — Superligaen · 9/9 matches
Win Ø 17%
0%
33%
Points per game
0,3
1,0
Over 2.5 Ø 73%
89%
56%
Both score Ø 45%
56%
33%
Average goals
3,8
2,7
Scored
1,1
0,9
Conceded
2,7
1,8
Goal diff per game
-1,6
-0,9
🔒 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. · Lyngby 12.
# Team K V U T +/− P
1 Midtjylland 9 8 1 0 +12 25
2 FC Copenhagen 9 7 0 2 +8 21
3 Aarhus 10 5 2 3 +7 17
4 Brondby 9 5 1 3 +4 16
5 Odense 10 4 2 4 +3 14
6 Aalborg 9 4 1 4 +5 13
7 Nordsjaelland 9 4 1 4 +1 13
8 Sonderjyske 10 2 6 2 +1 12
9 Hobro 10 2 6 2 -1 12
10 Randers FC 9 3 2 4 +2 11
11 Horsens 9 3 1 5 -9 10
12 Lyngby 9 3 0 6 -8 9
13 Esbjerg 9 1 2 6 -11 5
14 Silkeborg 9 0 3 6 -14 3

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.