Norway football has developed into a highly competitive and closely contested landscape. Each season, the Obos brings together teams with varying styles and ambitions. Our predictions focus on the stats that matter, from team form to goal trends. This allows for a more structured view of performance across all fixtures.
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 20 | ||||
| Bryne Haugesund 2026-08-30 |
WWWLW
WWLWW |
1X | 0:2 |
69.71%
|
| Egersund Asane 2026-08-30 |
LWLWW
LWLLD |
1 | 2:2 |
61.7%
|
| Hodd Stabaek 2026-08-30 |
LWWWW
WWWWW |
2 | 2:1 |
99.55%
|
| Kongsvinger Lyn 2026-08-30 |
WWWLW
WWWLW |
Handicap 2 (0:2) | 4:4 |
59.58%
|
| Moss Strommen 2026-08-30 |
DWLDL
WWLLW |
X2 | 1:2 |
54.98%
|
| Ranheim Odd 2026-08-30 |
LWLWL
LLDWD |
1X | 3:5 |
59.06%
|
| Raufoss Sandnes 2026-08-30 |
LWLLL
WLLLL |
1X | 0:3 |
69.29%
|
| Sogndal Stromsgodset 2026-08-30 |
DWLLW
WWWLW |
2 DNB | 2:3 |
93.5%
|
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 19 | ||||
| Strommen Raufoss 2026-08-26 |
WLLWD
WLLLW |
1 DNB | 3:1 |
65.1%
|
| Asane Lyn 2026-08-26 |
WLLD
WWLWD |
X2 | 1:2 |
87.39%
|
| Haugesund Egersund 2026-08-26 |
WLWWL
WLWWD |
Handicap 2 (0:2) | 3:0 |
61.66%
|
| Moss Sogndal 2026-08-26 |
WLDLL
WLLW |
1X | 2:2 |
54.98%
|
| Odd Kongsvinger 2026-08-26 |
LDWD
WWLW |
1X | 0:1 |
51.25%
|
| Stabaek Ranheim 2026-08-26 |
WWWWW
WLWLL |
1 | 4:2 |
95.92%
|
| Stromsgodset Hodd 2026-08-26 |
WWLWD
WWWWL |
Handicap 2 (0:3) | 3:1 |
63.41%
|
| Sandnes Bryne 2026-08-22 |
LLLL
WWLW |
2 DNB | 0:1 |
94.27%
|
| Round 18 | ||||
| Egersund Stabaek 2026-08-16 |
WWD
WWW |
X2 | 0:4 |
58.26%
|
| Hodd Strommen 2026-08-16 |
WWL
LWD |
X2 | 4:3 |
76.49%
|
| Kongsvinger Haugesund 2026-08-16 |
WLW
WWL |
X2 | 3:2 |
56.22%
|
| Raufoss Asane 2026-08-16 |
LLW
LLD |
X2 | 1:2 |
60.93%
|
| Sogndal Sandnes 2026-08-16 |
LLW
LLL |
1X | 2:0 |
67.19%
|
| Ranheim Stromsgodset 2026-08-15 |
WLL
LWD |
Handicap 1 (2:0) |
62.24%
|
|
| Lyn Odd 2026-08-15 |
LWD
DWD |
X2 |
67.56%
|
|
| Bryne Moss 2026-08-15 |
WLW
DLL |
1 |
59.47%
|
|
Our methodology
Each Obos prediction is based on a model-driven evaluation of team performance. Models like Linear Regression are used to identify relationships within performance data. Team form, scoring efficiency, and defensive organization are key inputs. This provides a structured and objective view of each matchup.
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