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 19 | ||||
| Kjelsas Stjordals Blink 2026-09-13 |
LWWLW
LDWWW |
1 | 5:0 |
61.12%
|
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 18 | ||||
| Follo Tromsdalen 2026-09-05 |
LDWLL
WWD |
2 DNB | 1:0 |
86.45%
|
| Skeid Kjelsas 2026-09-05 |
DWLLL
WWLWW |
2 DNB | 4:1 |
95.82%
|
| Stjordals Blink Eidsvold TF 2026-09-05 |
DWWWW
DWWWW |
1X | 1:3 |
74.85%
|
| Round 17 | ||||
| Eidsvold TF Grorud 2026-08-30 |
WWWWW
WWWL |
X2 | 0:0 |
57.56%
|
| Trygg/Lade Skeid 2026-08-30 |
DLWL
WLLLL |
1X | 1:1 |
93.4%
|
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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