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Denmark Superligaen Correct Score Predictions, Stats & Odds

TimeMatchOddsAttackDefenseFORMScore
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Denmark Superligaen – Score Predictions
Our Denmark Superligaen predictions are calculated using an advanced statistical model tailored to estimate the expected number of goals for each team in the top-flight league matches.
Previous Matches
07 Dec
2.0Viborg
Midtjylland2.3
1.18
1.09
1.16
0.41
WWWDD
LWWDW
1 - 2
1
X
2
  • 1.18
    Attack
    1.09
  • 1.16
    Defence
    0.41
  • 2.0
    Points per Game
    2.3
  • 2.9
    Average Scored
    2.7
  • WWWDD
    Form
    LWWDW
05 Dec
0.4FC Fredericia
Odense BK1.8
0.52
1.03
1.45
1.24
LLLDL
DDWLW
1 - 2
1
X
2
  • 0.52
    Attack
    1.03
  • 1.45
    Defence
    1.24
  • 0.4
    Points per Game
    1.8
  • 0.9
    Average Scored
    1.9
  • LLLDL
    Form
    DDWLW
01 Dec
1.9Brondby
FC Fredericia0.4
1.27
6.50
9.00
1.12
0.94
1.09
1.70
LWWLW
LLLDL
3 - 1
11.27
X6.50
29.00
  • 1.12
    Attack
    0.94
  • 1.09
    Defence
    1.7
  • 1.9
    Points per Game
    0.4
  • 2.4
    Average Scored
    0.9
  • LWWLW
    Form
    LLLDL
30 Nov
1.8Odense BK
Vejle1.1
1.85
3.70
3.60
1.00
0.62
1.37
1.18
DDWLW
LWLWL
2 - 1
11.85
X3.70
23.60
  • 1
    Attack
    0.62
  • 1.37
    Defence
    1.18
  • 1.8
    Points per Game
    1.1
  • 1.9
    Average Scored
    1.7
  • DDWLW
    Form
    LWLWL
30 Nov
2.3Midtjylland
FC Nordsjaelland1.5
1.60
4.33
5.00
1.89
0.96
1.09
1.30
LWWDW
WLLWL
4 - 2
11.60
X4.33
25.00
  • 1.89
    Attack
    0.96
  • 1.09
    Defence
    1.3
  • 2.3
    Points per Game
    1.5
  • 2.7
    Average Scored
    1.7
  • LWWDW
    Form
    WLLWL
30 Nov
2.3AGF Aarhus
FC Copenhagen1.1
2.35
3.60
2.80
0.94
1.64
0.89
0.71
WLDWW
WLLWW
1 - 2
12.35
X3.60
22.80
  • 0.94
    Attack
    1.64
  • 0.89
    Defence
    0.71
  • 2.3
    Points per Game
    1.1
  • 1.9
    Average Scored
    1.2
  • WLDWW
    Form
    WLLWW
30 Nov
1.2Silkeborg IF
Randers FC1.2
2.40
3.50
2.60
0.71
0.96
1.03
0.94
LDLLW
DLLDD
1 - 1
12.40
X3.50
22.60
  • 0.71
    Attack
    0.96
  • 1.03
    Defence
    0.94
  • 1.2
    Points per Game
    1.2
  • 1.6
    Average Scored
    1.0
  • LDLLW
    Form
    DLLDD
28 Nov
1.8Sonderjyske
Viborg2.0
2.35
3.50
2.88
1.24
0.75
0.75
0.59
WWWLD
WWWDD
1 - 1
12.35
X3.50
22.88
  • 1.24
    Attack
    0.75
  • 0.75
    Defence
    0.59
  • 1.8
    Points per Game
    2.0
  • 1.7
    Average Scored
    2.9
  • WWWLD
    Form
    WWWDD
24 Nov
1.4Randers FC
Odense BK1.7
2.25
3.50
3.00
0.66
1.15
1.29
1.43
LLDDL
DWLWW
2 - 2
12.25
X3.50
23.00
  • 0.66
    Attack
    1.15
  • 1.29
    Defence
    1.43
  • 1.4
    Points per Game
    1.7
  • 1.1
    Average Scored
    2.0
  • LLDDL
    Form
    DWLWW
23 Nov
1.5Sonderjyske
Midtjylland2.6
4.75
4.10
1.65
1.25
1.15
0.81
0.48
WWLDW
WWDWW
1 - 1
14.75
X4.10
21.65
  • 1.25
    Attack
    1.15
  • 0.81
    Defence
    0.48
  • 1.5
    Points per Game
    2.6
  • 1.5
    Average Scored
    2.8
  • WWLDW
    Form
    WWDWW
23 Nov
1.5FC Nordsjaelland
FC Fredericia0.5
1.38
5.25
6.50
0.84
1.07
0.95
1.54
LLWLW
LLDLL
2 - 1
11.38
X5.25
26.50
  • 0.84
    Attack
    1.07
  • 0.95
    Defence
    1.54
  • 1.5
    Points per Game
    0.5
  • 1.3
    Average Scored
    1.0
  • LLWLW
    Form
    LLDLL
23 Nov
1.7Viborg
Vejle1.2
1.70
3.90
4.75
0.96
0.54
1.09
0.90
WWDDL
WLWLL
1 - 1
11.70
X3.90
24.75
  • 0.96
    Attack
    0.54
  • 1.09
    Defence
    0.9
  • 1.7
    Points per Game
    1.2
  • 2.4
    Average Scored
    1.6
  • WWDDL
    Form
    WLWLL
23 Nov
1.1FC Copenhagen
Brondby2.2
2.05
3.60
3.40
1.14
1.09
0.81
0.48
LLWWD
WWLWD
1 - 1
12.05
X3.60
23.40
  • 1.14
    Attack
    1.09
  • 0.81
    Defence
    0.48
  • 1.1
    Points per Game
    2.2
  • 1.3
    Average Scored
    2.6
  • LLWWD
    Form
    WWLWD
21 Nov
1.5Silkeborg IF
AGF Aarhus2.3
3.90
3.90
1.80
0.78
1.30
0.95
1.07
DLLWW
LDWWD
1 - 2
13.90
X3.90
21.80
  • 0.78
    Attack
    1.3
  • 0.95
    Defence
    1.07
  • 1.5
    Points per Game
    2.3
  • 1.8
    Average Scored
    1.9
  • DLLWW
    Form
    LDWWD
09 Nov
1.9Brondby
FC Nordsjaelland1.8
1.95
3.75
3.50
1.25
0.96
1.30
1.48
WLWDW
LWLWW
3 - 2
11.95
X3.75
23.50
  • 1.25
    Attack
    0.96
  • 1.3
    Defence
    1.48
  • 1.9
    Points per Game
    1.8
  • 2.5
    Average Scored
    1.5
  • WLWDW
    Form
    LWLWW
09 Nov
2.6AGF Aarhus
Sonderjyske1.5
1.57
4.10
5.50
0.89
1.03
0.89
1.07
DWWDW
WLDWD
2 - 1
11.57
X4.10
25.50
  • 0.89
    Attack
    1.03
  • 0.89
    Defence
    1.07
  • 2.6
    Points per Game
    1.5
  • 2.1
    Average Scored
    2.2
  • DWWDW
    Form
    WLDWD
09 Nov
1.4Randers FC
Midtjylland2.6
4.50
4.10
1.67
0.65
1.10
1.17
0.53
LDDLW
WDWWW
1 - 2
14.50
X4.10
21.67
  • 0.65
    Attack
    1.1
  • 1.17
    Defence
    0.53
  • 1.4
    Points per Game
    2.6
  • 1.2
    Average Scored
    2.8
  • LDDLW
    Form
    WDWWW
09 Nov
0.8FC Fredericia
Viborg1.4
3.10
3.80
2.10
0.59
0.69
1.37
0.71
LDLLL
WDDLL
1 - 1
13.10
X3.80
22.10
  • 0.59
    Attack
    0.69
  • 1.37
    Defence
    0.71
  • 0.8
    Points per Game
    1.4
  • 1.4
    Average Scored
    2.2
  • LDLLL
    Form
    WDDLL
09 Nov
1.2Vejle
FC Copenhagen1.4
5.75
4.33
1.53
0.77
1.85
1.30
0.65
LWLLL
LWWDL
1 - 4
15.75
X4.33
21.53
  • 0.77
    Attack
    1.85
  • 1.3
    Defence
    0.65
  • 1.2
    Points per Game
    1.4
  • 1.7
    Average Scored
    1.5
  • LWLLL
    Form
    LWWDL
07 Nov
1.6Odense BK
Silkeborg IF1.7
2.20
3.50
3.00
1.01
1.16
1.44
1.30
WLWWD
LLWWL
2 - 2
12.20
X3.50
23.00
  • 1.01
    Attack
    1.16
  • 1.44
    Defence
    1.3
  • 1.6
    Points per Game
    1.7
  • 2.0
    Average Scored
    1.9
  • WLWWD
    Form
    LLWWL

Correct Score Stats Denmark Superligaen

Total Matches: 193

#ScoreOccurrencesPercentage
11-0168.29%
22-0126.22%
32-1157.77%
43-031.55%
53-1126.22%
63-2126.22%
74-042.07%
84-131.55%
94-252.59%
101-12412.44%
112-2178.81%
123-342.07%
130-173.63%
140-284.15%
151-2105.18%
160-331.55%
170-463.11%
181-452.59%

Use these insights with our daily markets: BTTS · Over 2.5 · Under 2.5 · Draws.

Teams with most 0-0 Draws

#TeamMatches0-0 Draws
1
Randers FC
244
2
Brondby
223
3
Midtjylland
222

Teams with most 1-0 Wins

#TeamMatches1-0 Wins
1
AGF Aarhus
223
2
FC Nordsjaelland
223
3
Viborg
223

Teams with most 2-0 Wins

#TeamMatches2-0 Wins
1
Brondby
224
2
Sonderjyske
223
3
Midtjylland
223

Teams with most 1-1 Draws

#TeamMatches1-1 Draws
1
Vejle Vejle
245
2
Odense BK Odense BK
244
3
Silkeborg IF Silkeborg IF
243

Teams with most 2-1 Wins

#TeamMatches2-1 Wins
1
AGF Aarhus AGF Aarhus
225
2
Randers FC Randers FC
243
3
FC Nordsjaelland FC Nordsjaelland
223

Highest Scoring Teams

#TeamMatchesAverage Scored
1
Midtjylland Midtjylland
222.64
2
AGF Aarhus AGF Aarhus
222.09
3
Viborg Viborg
221.68
4
FC Nordsjaelland FC Nordsjaelland
221.68
5
Odense BK Odense BK
241.63

Most Goals Conceded

#TeamMatchesAverage Conceded
1
FC Fredericia FC Fredericia
242.21
2
Odense BK Odense BK
242
3
Vejle Vejle
241.96
4
Silkeborg IF Silkeborg IF
241.92
5
FC Nordsjaelland FC Nordsjaelland
221.77

Teams with most BTTS

#TeamMatchesBTTS
1
Odense BK Odense BK
2420
2
FC Copenhagen FC Copenhagen
2417
3
Vejle Vejle
2416
4
AGF Aarhus AGF Aarhus
2216
5
FC Fredericia FC Fredericia
2415

Teams with most Over 2.5 Goals

#TeamMatchesOver 2.5 Goals
1
Odense BK Odense BK
2418
2
FC Fredericia FC Fredericia
2418
3
FC Nordsjaelland FC Nordsjaelland
2216
4
FC Copenhagen FC Copenhagen
2415
5
Viborg Viborg
2215

Teams with most Clean Sheets

#TeamMatchesClean Sheets
1
Randers FC Randers FC
249
2
Brondby Brondby
229
3
Midtjylland Midtjylland
228
4
Sonderjyske Sonderjyske
227
5
AGF Aarhus AGF Aarhus
226

Teams with Most Corners

#TeamAverage Corners
1
AGF Aarhus AGF Aarhus
5.8/match
2
FC Copenhagen FC Copenhagen
5.4/match
3
Randers FC Randers FC
5.3/match
4
Midtjylland Midtjylland
5.3/match
5
Odense BK Odense BK
5.2/match

Denmark Superligaen Table & Standings

#TeamMatchesGoals ForGoals AgainstPoints
1
Odense BK Odense BK
24394831
2
FC Copenhagen FC Copenhagen
24373829
3
Randers FC Randers FC
24253029
4
FC Fredericia FC Fredericia
24325327
5
Silkeborg IF Silkeborg IF
24284623
6
Vejle Vejle
24284716

We hope our expected goals predictions and statistics for Denmark Superligaen matches have provided you with valuable insights. These stats are designed to support your decision-making process and enhance your betting strategy.

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