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 11 | ||||
| Asane Odd 2026-06-14 |
LWWDL
WWLLW |
2 |
89.2%
|
|
| Haugesund Ranheim 2026-06-14 |
WWWDL
DWLWL |
1 DNB |
89.2%
|
|
| Hodd Kongsvinger 2026-06-14 |
LWLDW
WLWWD |
2 DNB |
64.44%
|
|
| Lyn Bryne 2026-06-14 |
LWDLW
WLLWW |
X2 |
81.92%
|
|
| Sandnes Strommen 2026-06-14 |
LWLWL
DLLLL |
1 DNB |
64.82%
|
|
| Sogndal Moss 2026-06-14 |
WLDDW
DLDWL |
1 DNB |
77.35%
|
|
| Stabaek Egersund 2026-06-14 |
DWDLW
LLDLL |
X2 |
51.11%
|
|
| Stromsgodset Raufoss 2026-06-14 |
WWDWW
LLWWL |
1 |
86.47%
|
|
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 10 | ||||
| Bryne Hodd 2026-05-31 |
LLWWD
WLDWW |
Handicap 2 (0:2) | 1:0 |
69.24%
|
| Egersund Stromsgodset 2026-05-31 |
LDLLW
WDWWW |
X2 | 0:5 |
66.08%
|
| Kongsvinger Asane 2026-05-31 |
LWWDW
WWDLL |
1 | 3:1 |
80.2%
|
| Ranheim Sandnes 2026-05-31 |
LWLDW
WLWLL |
X2 | 5:1 |
55.67%
|
| Raufoss Haugesund 2026-05-31 |
LWWLL
WWDLW |
2 DNB | 3:4 |
87.99%
|
| Strommen Sogndal 2026-05-31 |
LLLLL
LDDWD |
X2 | 2:3 |
82.97%
|
| Moss Stabaek 2026-05-30 |
LDWLL
WDLWW |
X2 | 2:2 |
83.51%
|
| Odd Lyn 2026-05-30 |
WLLWW
WDLWL |
1 DNB | 3:0 |
89.92%
|
| Round 9 | ||||
| Asane Raufoss 2026-05-25 |
WDLLL
WWLLL |
X2 | 3:0 |
60.85%
|
| Haugesund Moss 2026-05-25 |
WDLWL
DWLLW |
1 DNB | 3:1 |
74.51%
|
| Hodd Egersund 2026-05-25 |
LDWWD
DLLWL |
X2 | 3:1 |
60.27%
|
| Lyn Strommen 2026-05-25 |
DLWLL
LLLLD |
1 DNB | 1:0 |
80.85%
|
| Odd Ranheim 2026-05-25 |
LLWWW
WLDWL |
1 DNB | 3:1 |
65.81%
|
| Sandnes Sogndal 2026-05-25 |
LWLLD
DDWDW |
X2 | 2:0 |
62.83%
|
| Stabaek Kongsvinger 2026-05-25 |
DLWWW
WWDWD |
X2 | 2:0 |
56.22%
|
| Stromsgodset Bryne 2026-05-25 |
DWWWD
LWWDL |
1 | 1:0 |
83.34%
|
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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