Football in Denmark offers a mix of structure, intensity, and emerging talent. Within this structure, the Superliga delivers regular high-level matchups. We break down key metrics such as scoring patterns, defensive records, and recent performances.
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 28 | ||||
| Viborg Brondby 2026-04-22 |
LWL
WLL |
X2 |
75.03%
|
|
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 27 | ||||
| Midtjylland Aarhus 2026-04-20 |
WDDLL
DW |
1X | 2:1 |
58.26%
|
| Nordsjaelland Viborg 2026-04-19 |
DW
WL |
1X | 2:1 |
57.44%
|
| Brondby Sonderjyske 2026-04-17 |
LL
LDLDW |
X2 | 6:0 |
61.06%
|
| Round 25 | ||||
| Nordsjaelland Brondby 2026-04-07 |
WWLDW
DLDDL |
1X | 2:1 |
61.07%
|
| Viborg Aarhus 2026-04-06 |
DWLWL
DDDWW |
X2 | 1:2 |
54.05%
|
| Midtjylland Sonderjyske 2026-04-04 |
DLLWD
LDWDW |
1 | 2:2 |
73.75%
|
Our methodology
Our approach to Superliga predictions relies on statistical models and performance data. We rely on established statistical methods like Linear Regression for evaluation. Team form, scoring efficiency, and defensive organization are key inputs. This approach delivers a balanced view based on measurable performance.
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