← Match Finder
Superligaen
Silkeborg
U S U T T
2–0
Full-time
Lyngby
U T U T T

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.

Unlock with Pro

Already have an account? Log in

Team trends

Silkeborg Lyngby
Last 6 — all competitions · 6/6 matches
Win Ø 9%
17%
0%
Points per game
0,8
0,3
Over 2.5 Ø 59%
50%
67%
Both score Ø 50%
33%
67%
Average goals
2,7
2,8
Scored
1,5
0,8
Conceded
1,2
2,0
Goal diff per game
+0,3
-1,2
This season — Superligaen · 30/30 matches
Win Ø 22%
13%
30%
Points per game
0,7
1,1
Over 2.5 Ø 62%
67%
57%
Both score Ø 58%
63%
53%
Average goals
3,2
2,8
Scored
1,3
1,1
Conceded
1,9
1,7
Goal diff per game
-0,7
-0,6
🔒 Goal markets Pro

Expected goals, over/under and both teams to score — priced by the model before kick-off.

Unlock with Pro

Already have an account? Log in

🔒 Most likely result Pro

The model's top final scores with the best bookmaker odds.

Unlock with Pro

Already have an account? Log in

The table before the match Silkeborg 14. · Lyngby 11.
# Team K V U T +/− P
1 Midtjylland 30 23 3 4 +30 72
2 FC Copenhagen 30 19 4 7 +19 61
3 Aarhus 30 16 6 8 +13 54
4 Brondby 30 14 6 10 +12 48
5 Nordsjaelland 30 13 6 11 +14 45
6 Horsens 31 12 7 12 -15 43
7 Odense 30 12 6 12 +3 42
8 Aalborg 30 12 5 13 +6 41
9 Randers FC 30 11 6 13 +3 39
10 Sonderjyske 30 9 9 12 -12 36
11 Lyngby 30 9 6 15 -18 33
12 Hobro 30 5 15 10 -11 30
13 Esbjerg 31 5 7 19 -24 22
14 Silkeborg 30 4 8 18 -20 20

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.