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 9 | ||||
| Grorud Trygg/Lade 2026-05-31 |
WWLDW
LLWLL |
1 | 2:1 |
88.08%
|
| Honefoss Lorenskog 2026-05-31 |
LWWWL
WWLLW |
1 DNB | 1:1 |
81.55%
|
| Levanger Junkeren 2026-05-31 |
LWWLW
WWLLW |
1 | 3:0 |
72.52%
|
| Rana FK Stjordals Blink 2026-05-31 |
LLWDL
DLLWL |
X2 | 3:2 |
56.22%
|
| Tromsdalen Skeid 2026-05-31 |
WLLWW
WLWLL |
Handicap 2 (0:2) | 2:0 |
62.25%
|
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 5 | ||||
| Levanger Tromsdalen 2026-05-03 |
WWLW
WLWD |
X2 | 2:3 |
51.56%
|
| Honefoss Trygg/Lade 2026-05-03 |
LWWDD
LLDL |
1 | 3:1 |
85.81%
|
| Follo Junkeren 2026-05-03 |
WLDD
LWLD |
1X |
90.47%
|
|
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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