Norway offers a football scene where consistency and form often decide outcomes. As a key competition, the Division 2 reflects the overall strength of football in Norway. Our analysis highlights performance trends to give a clearer view of each fixture.
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 26 | ||||
| Grorud Ull/Kisa 2026-10-31 |
LLLWW
LLWLL |
1 | 3:0 |
61.76%
|
| Honefoss Kjelsas 2026-10-31 |
LWDLL
WWWWD |
X2 | 1:2 |
80.12%
|
| Levanger Eidsvold TF 2026-10-31 |
WWDLL
WWWLW |
X2 | 4:1 |
87.74%
|
| Lorenskog Follo 2026-10-31 |
WLDLW
WWLLL |
2 DNB | 3:2 |
66.08%
|
| Skeid Stjordals Blink 2026-10-31 |
LWLWL
WWLWW |
X2 | 3:1 |
73.42%
|
| Tromsdalen Junkeren 2026-10-31 |
LWLWW
LLLWL |
Handicap 2 (0:2) | 2:3 |
54.16%
|
| Trygg/Lade Rana FK 2026-10-31 |
LLDLL
LLLWW |
X2 | 0:1 |
80.92%
|
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 21 | ||||
| Lorenskog Skeid 2026-09-27 |
LWDLL
LLLWD |
X2 | 4:1 |
81.16%
|
| Levanger Grorud 2026-09-27 |
WLWWW
WWWDW |
X2 | 0:2 |
79.5%
|
| Honefoss Tromsdalen 2026-09-27 |
WDWWW
WLWWL |
1 DNB | 2:1 |
57.35%
|
| Round 19 | ||||
| Kjelsas Stjordals Blink 2026-09-13 |
LWWLW
LDWWW |
1 | 5:0 |
61.12%
|
Our methodology
We generate Division 2 predictions using structured statistical models and match data. Models like Linear Regression are used to identify relationships within performance data. We analyze factors such as scoring trends, defensive records, and match consistency. This ensures each prediction is supported by measurable trends.
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