← Match Finder
Superligaen
Nordsjaelland
T U T T U
1–1
Full-time
Silkeborg
S U U S U

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

Nordsjaelland Silkeborg
Last 6 — all competitions · 6/6 matches
Win Ø 25%
0%
50%
Points per game
0,3
2,0
Over 2.5 Ø 59%
67%
50%
Both score Ø 67%
67%
67%
Average goals
3,8
3,5
Scored
1,0
2,7
Conceded
2,8
0,8
Goal diff per game
-1,8
+1,8
This season — Superligaen · 15/15 matches
Win Ø 30%
27%
33%
Points per game
1,0
1,5
Over 2.5 Ø 50%
60%
40%
Both score Ø 57%
60%
53%
Average goals
3,1
2,5
Scored
1,3
1,6
Conceded
1,9
0,9
Goal diff per game
-0,6
+0,7
🔒 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 Nordsjaelland 10. · Silkeborg 6.
# Team K V U T +/− P
1 Midtjylland 15 11 1 3 +16 34
2 FC Copenhagen 15 8 5 2 +19 29
3 Aalborg 15 7 4 4 +7 25
4 Randers FC 15 7 4 4 +2 25
5 Brondby 15 6 6 3 +3 24
6 Silkeborg 15 5 8 2 +10 23
7 Viborg 16 4 7 5 -1 19
8 Aarhus 15 5 4 6 -4 19
9 Odense 16 3 7 6 -1 16
10 Nordsjaelland 15 4 3 8 -9 15
11 Sonderjyske 15 2 3 10 -20 9
12 Vejle 15 2 2 11 -22 8

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.