Across Denmark, football continues to evolve with stronger teams and tighter contests. The 1st Division stands as one of the most followed competitions within Denmark. Our predictions focus on the stats that matter, from team form to goal trends. As the season progresses, trends begin to define team strengths and weaknesses.
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 31 | ||||
| Kolding IF Hillerod 2026-05-25 |
LLDLL
DLWWL |
2 DNB | 3:0 |
75.24%
|
| Hvidovre IF Esbjerg 2026-05-25 |
DLDDW
DWLLL |
1X | 1:4 |
54.43%
|
| Lyngby Horsens 2026-05-25 |
WWLWW
DWWDW |
1X | 0:2 |
59.74%
|
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 30 | ||||
| Hillerod Esbjerg 2026-05-16 |
LWWLD
WLLLD |
1X | 1:1 |
60.93%
|
| Horsens Hvidovre IF 2026-05-16 |
WWDWW
LDDWL |
1X | 1:1 |
81.92%
|
| Kolding IF Lyngby 2026-05-15 |
LDLLL
WLWWW |
2 DNB | 1:3 |
92.22%
|
| Round 29 | ||||
| Hvidovre IF Lyngby 2026-05-09 |
DDWLL
LWWWW |
X2 | 0:2 |
74.61%
|
| Horsens Hillerod 2026-05-09 |
WDWWD
WWLDD |
X2 | 4:0 |
60.93%
|
| Esbjerg Kolding IF 2026-05-09 |
LLLDW
DLLLL |
X2 | 3:0 |
57.72%
|
Our methodology
We use statistical modeling techniques to produce consistent 1st Division predictions. Mathematical models, including Linear Regression, are used to interpret performance metrics. We focus on performance indicators including scoring rates and defensive stability. The aim is to provide reliable insights grounded in data.
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