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

Odense Silkeborg
Last 6 — all competitions · 6/6 matches
Win Ø 9%
0%
17%
Points per game
0,3
0,7
Over 2.5 Ø 50%
50%
50%
Both score Ø 59%
50%
67%
Average goals
1,8
2,3
Scored
0,5
0,8
Conceded
1,3
1,5
Goal diff per game
-0,8
-0,7
This season — Superligaen · 22/22 matches
Win Ø 23%
36%
9%
Points per game
1,3
0,5
Over 2.5 Ø 64%
55%
73%
Both score Ø 57%
45%
68%
Average goals
2,5
3,4
Scored
1,3
1,2
Conceded
1,2
2,2
Goal diff per game
+0,1
-1,0
🔒 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 Odense 9. · Silkeborg 14.
# Team K V U T +/− P
1 Midtjylland 22 18 2 2 +23 56
2 FC Copenhagen 22 15 2 5 +14 47
3 Aarhus 22 12 4 6 +13 40
4 Nordsjaelland 23 11 4 8 +12 37
5 Brondby 22 11 2 9 +9 35
6 Aalborg 22 10 4 8 +10 34
7 Randers FC 22 10 4 8 +8 34
8 Lyngby 22 9 4 9 -7 31
9 Odense 22 8 4 10 +3 28
10 Sonderjyske 22 6 7 9 -9 25
11 Horsens 23 7 4 12 -22 25
12 Hobro 23 2 12 9 -11 18
13 Esbjerg 23 4 4 15 -20 16
14 Silkeborg 22 2 5 15 -23 11

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

16. Sep -19 Silkeborg – Odense 0–3

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