← Match Finder
Superligaen
Referee: A Argyrou
Hvidovre IF
T U T S T
1–2
Full-time
Silkeborg
S S S 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

Hvidovre IF Silkeborg
Last 6 — all competitions · 6/6 matches
Win Ø 58%
33%
83%
Points per game
1,2
2,5
Over 2.5 Ø 50%
50%
50%
Both score Ø 17%
17%
17%
Average goals
3,0
2,7
Scored
1,8
2,3
Conceded
1,2
0,3
Goal diff per game
+0,7
+2,0
xG created Pro
xG conceded Pro
xG diff Pro
This season — Superligaen · 11/11 matches
Win Ø 32%
0%
64%
Points per game
0,3
2,0
Over 2.5 Ø 46%
36%
55%
Both score Ø 32%
27%
36%
Average goals
2,2
2,7
Scored
0,4
1,9
Conceded
1,8
0,8
Goal diff per game
-1,5
+1,1
xG created Pro
xG conceded Pro
xG diff Pro
🔒 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

Match stats

Half-time score: 1–1

53% Possession 47%
7 Shots 12
2 Shots on target 3
2 Blocked shots 2
1 Goalkeeper saves 1
7 Corners 3
2 Offside 2
14 Free kicks against 3
1 Yellow cards 1
0 Red cards 0
The table before the match Hvidovre IF 12. · Silkeborg 3.
# Team K V U T +/− xG +/− P
1 Brondby 11 8 0 3 +11 +2.6 24
2 FC Copenhagen 11 7 2 2 +8 +4.2 23
3 Silkeborg 11 7 1 3 +12 +8.2 22
4 Nordsjaelland 11 5 4 2 +12 +6.1 19
5 Midtjylland 11 5 3 3 +0 +1.7 18
6 Lyngby 11 4 3 4 -4 -2.7 15
7 Aarhus 11 3 5 3 -2 +4.0 14
8 Randers FC 11 3 4 4 -9 -2.7 13
9 Viborg 11 3 3 5 -6 +0.1 12
10 Odense 11 3 2 6 -2 -4.5 11
11 Vejle 11 2 2 7 -4 -10.2 8
12 Hvidovre IF 11 0 3 8 -16 -6.7 3

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.

Odds comparison

Green columns are the outcomes that came in.

1X2
H
U
B ✓
Over/under goals
O1,5 ✓
O2,5 ✓
U3,5 ✓
Both teams to score
BLS ja ✓
BLS nei

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