← Match Finder
Superligaen
Silkeborg
U U S T U
6–0
Full-time
Odense
U U U 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

Silkeborg Odense
Last 6 — all competitions · 6/6 matches
Win Ø 17%
17%
17%
Points per game
1,0
1,0
Over 2.5 Ø 25%
33%
17%
Both score Ø 59%
67%
50%
Average goals
2,5
1,8
Scored
1,0
0,8
Conceded
1,5
1,0
Goal diff per game
-0,5
-0,2
This season — Superligaen · 26/26 matches
Win Ø 24%
12%
35%
Points per game
0,6
1,3
Over 2.5 Ø 60%
69%
50%
Both score Ø 60%
69%
50%
Average goals
3,3
2,5
Scored
1,2
1,3
Conceded
2,1
1,2
Goal diff per game
-0,9
+0,2
🔒 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. · Odense 9.
# Team K V U T +/− P
1 Midtjylland 27 22 2 3 +30 68
2 FC Copenhagen 27 18 3 6 +18 57
3 Aarhus 27 14 6 7 +14 48
4 Brondby 27 13 4 10 +10 43
5 Nordsjaelland 27 12 6 9 +13 42
6 Aalborg 27 11 5 11 +9 38
7 Randers FC 27 10 5 12 +2 35
8 Horsens 27 10 5 12 -19 35
9 Odense 26 9 6 11 +4 33
10 Lyngby 27 9 5 13 -15 32
11 Sonderjyske 27 7 9 11 -12 30
12 Hobro 27 3 15 9 -10 24
13 Esbjerg 27 5 6 16 -20 21
14 Silkeborg 26 3 7 16 -24 16

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.