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 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%
|
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 28 | ||||
| Kolding IF Hvidovre IF 2026-05-03 |
LLLLD
DWLLD |
X2 | 1:1 |
82.57%
|
| Lyngby Hillerod 2026-05-03 |
WWWWL
WLDDD |
1 DNB | 1:2 |
88.08%
|
| Esbjerg Horsens 2026-04-30 |
LLDWD
DWWDW |
X2 | 0:1 |
60.67%
|
| Round 27 | ||||
| Hvidovre IF Horsens 2026-04-25 |
WLLDW
WWDWL |
1X | 1:1 |
56.83%
|
| Hillerod Kolding IF 2026-04-25 |
LDDDW
LLLDW |
1X | 2:0 |
56.22%
|
| Lyngby Esbjerg 2026-04-24 |
WWWLD
LDWDD |
1 DNB | 5:0 |
72.11%
|
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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