← Match Finder
Superligaen
Lyngby
T S U U U
1–0
Full-time
Silkeborg
T T T T 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.

Unlock with Pro

Already have an account? Log in

Team trends

Lyngby Silkeborg
Last 6 — all competitions · 6/6 matches
Win Ø 25%
33%
17%
Points per game
1,5
0,7
Over 2.5 Ø 67%
67%
67%
Both score Ø 92%
100%
83%
Average goals
3,5
2,5
Scored
1,8
1,0
Conceded
1,7
1,5
Goal diff per game
+0,2
-0,5
This season — Superligaen · 19/19 matches
Win Ø 24%
37%
11%
Points per game
1,3
0,5
Over 2.5 Ø 74%
63%
84%
Both score Ø 69%
63%
74%
Average goals
3,1
3,7
Scored
1,3
1,3
Conceded
1,7
2,4
Goal diff per game
-0,4
-1,1
🔒 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 Lyngby 9. · Silkeborg 14.
# Team K V U T +/− P
1 Midtjylland 19 16 2 1 +21 50
2 FC Copenhagen 19 14 1 4 +14 43
3 Aarhus 19 10 3 6 +10 33
4 Brondby 19 10 1 8 +8 31
5 Aalborg 20 8 4 8 +7 28
6 Nordsjaelland 20 8 4 8 +4 28
7 Odense 19 8 3 8 +6 27
8 Randers FC 19 8 3 8 +4 27
9 Lyngby 19 7 4 8 -8 25
10 Horsens 20 7 4 9 -14 25
11 Sonderjyske 20 5 7 8 -10 22
12 Hobro 19 2 10 7 -7 16
13 Esbjerg 19 3 4 12 -15 13
14 Silkeborg 19 2 4 13 -20 10

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.

Recent head-to-head meetings

22. Sep -19 Silkeborg – Lyngby 2–3

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