Denmark Superliga Predictions

Updated

Upcoming Games for May 1, 2026

TimeTeamsWinDrawBest
ML
GoalsTotal
Goals
Best
O/U

Bet Value

We use three different graphics to describe Bet Value within a matchup.

More on Bet Value
More Details
Nordsjaelland
Brondby
21.4%
56.7%
21.9%
+205
+118

1.12
1.94
3.06
o3¼-106
u3¼-114

Games for Apr 30, 2026

Completed Games

TimeTeamsWinDrawBest
ML
Final
Goals
Sportsbook
Log Loss
DRatings
Log Loss
Aalborg
Silkeborg
51.6%
24.6%
23.8%
+255
-108
+270
-110
1
1
-1.39711-1.41022-1.43670
Brondby
Aarhus
31.4%
42.3%
26.2%
+170
+163
+160
+170
0
1
-1.00264-1.04120-0.86003
Midtjylland
Sonderjyske
60.4%
17.6%
22.0%
-204
+530
-200
+500
2
3
-1.88440-1.84124-1.73670
Silkeborg
Nordsjaelland
19.0%
60.4%
20.6%
+570
-227
+600
-235
1
1
-1.63568-1.62826-1.57808
Randers
Aalborg
33.5%
39.5%
26.9%
+110
+230
+125
+205
2
0
-0.78680-0.85982-1.09264
FC Copenhagen
Silkeborg
65.4%
15.1%
19.5%
-139
+375
-140
+375
2
2
-1.40838-1.41001-1.63619
Midtjylland
Brondby
42.0%
31.3%
26.6%
+220
+113
+225
+105
0
2
-0.79700-0.76845-1.16075
Nordsjaelland
Sonderjyske
36.4%
36.8%
26.8%
-160
+420
-130
+315
4
1
-0.52498-0.62226-1.01170
Lyngby
Randers
13.0%
68.8%
18.2%
+420
-154
+355
-135
1
1
-1.45265-1.41038-1.70446
Brondby
Nordsjaelland
47.4%
28.3%
24.3%
+151
+163
+165
+155
1
4
-1.01473-0.98602-1.26372
Silkeborg
Lyngby
40.7%
33.2%
26.1%
+144
+205
+120
+215
2
2
-1.26553-1.31923-1.34431
Sonderjyske
Aalborg
28.3%
45.9%
25.8%
+170
+158
+185
+140
0
3
-0.97923-0.92735-0.77879
Randers
Aarhus
21.8%
54.8%
23.4%
+300
+104
+275
+100
2
2
-1.28859-1.30383-1.45128
Aalborg
FC Copenhagen
21.4%
54.6%
23.9%
+900
-350
+850
-350
0
2
-0.30171-0.29982-0.60455
Brondby
Silkeborg
65.8%
15.5%
18.8%
-133
+335
-140
+360
3
3
-1.44524-1.43578-1.67323
Aarhus
Lyngby
72.1%
10.9%
17.0%
-105
+280
-110
+275
0
0
-1.33272-1.39707-1.77143
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Season Prediction Results

 GamesRecord (Pct)No Pick

Log Loss

Log loss is used to determine the accuracy of a model.

More on Log Loss
+/-
Sportsbooks00-0-0 (0.000)0 
Sportsbooks00-0-0 (0.000)0 
DRatings00-0-0 (0.000)0

Predictions Methodology

The Predictor was designed to use computer estimates from the Inference Index to predict future Denmark Superliga games. The Predictor does NOT account for injuries, or any other factors that may be cause the outcome to be swayed in one direction or another. See my disclaimer page for more on the benefits/downfalls about these predictions: Predictions Disclaimer.

In the 2016-2017 season there was a change in format with Denmark’s top division going from twelve to fourteen teams. Each team plays every other team two times, and then breaks into a Championship and Relegation Group. The top team from the Championship Group qualifies for Champions League. The second through fourth place team each qualify for Europa League. Finally, the team at the bottom of the table in the Relegation Group is sent down to the second division.