Molde vs KFUM Oslo Prediction
Norway · Regular Season - 20
AI Best Pick
Statistical forecasts for entertainment purposes only - not betting or financial advice.
Match Forecasts
Match Events
Lineups
Molde
22A. PosiadałaA. Posiadała
25M. LinnesM. Linnes
19E. HauganE. Haugan
33B. RisaB. Risa
26S. KabiniS. Kabini
10E. BreivikE. Breivik
30D. DagaD. Daga
11C. Zady SeryC. Zady Sery
6N. ØdegårdN. Ødegård
21O. Spiten-NysæterO. Spiten-Nysæter
9J. AbdulaiJ. Abdulai
1E. ØdegaardE. Ødegaard
24H. RøstenH. Røsten
5F. BerglieF. Berglie
13B. SkaretB. Skaret
14H. HosethH. Hoseth
19E. SaunesE. Saunes
6J. FlatenJ. Flaten
16J. HjorthJ. Hjorth
9M. VinjorM. Vinjor
22B. KristensenB. Kristensen
18R. VingeR. VingeMolde Substitutes
KFUM Oslo Substitutes
Match Stats
MoldeKFUM Oslo Team Comparison
MoldeKFUM OsloAI Insights
Game State Tendencies
Molde- Leads at half-time in 80% of matches
- Scores more in 2nd half (2.1 vs 1.2 in first half)
- Concedes more in 1st half - tightens up after the break
KFUM Oslo- Leads at half-time in 60% of matches
- Starts fast - scores more in 1st half (1.7 vs 0.3 in second half)
- Concedes more in 1st half - tightens up after the break
Head to Head
Based on 5 historical meetings
Recent Form
Molde
KFUM Oslo
League Table
| # | Team | MP | W | D | L | G | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|
| 1 |  Viking | 21 | 16 | 2 | 3 | 54:20 | +34 | 50 | WWDWL |
| 2 |  Bodo/Glimt | 21 | 16 | 2 | 3 | 53:19 | +34 | 50 | LWWWW |
| 3 |  Tromso | 21 | 11 | 5 | 5 | 40:29 | +11 | 38 | WLLDL |
| 4 | Molde | 21 | 11 | 3 | 7 | 44:32 | +12 | 36 | LWWWW |
| 5 |  Rosenborg | 21 | 10 | 3 | 8 | 39:30 | +9 | 33 | WWWLW |
| 6 |  Lillestrom | 21 | 10 | 2 | 9 | 28:29 | -1 | 32 | LWWLD |
| 7 |  Brann | 21 | 9 | 2 | 10 | 39:32 | +7 | 29 | WLLDW |
| 8 |  Fredrikstad | 21 | 8 | 4 | 9 | 25:32 | -7 | 28 | DDLWW |
| 9 |  Sarpsborg 08 FF | 21 | 6 | 7 | 8 | 24:29 | -5 | 25 | LDDDL |
| 10 | KFUM Oslo | 21 | 7 | 4 | 10 | 25:35 | -10 | 25 | WWLLD |
| 11 |  Sandefjord | 21 | 6 | 5 | 10 | 21:27 | -6 | 23 | WLDDW |
| 12 |  Valerenga | 21 | 6 | 5 | 10 | 34:43 | -9 | 23 | DLDLD |
| 13 |  Ham-Kam | 21 | 6 | 5 | 10 | 29:44 | -15 | 23 | LLLDL |
| 14 |  Aalesund | 21 | 4 | 9 | 8 | 33:46 | -13 | 21 | WLWLD |
| 15 |  Kristiansund BK | 21 | 5 | 4 | 12 | 21:40 | -19 | 19 | LLWDL |
| 16 |  Start | 21 | 4 | 4 | 13 | 22:44 | -22 | 16 | LWLWL |
| # | Team | MP | G | Pts |
|---|---|---|---|---|
| 1 | Viking | 21 | 54:20 | 50 |
| 2 | Bodo/Glimt | 21 | 53:19 | 50 |
| 3 | Tromso | 21 | 40:29 | 38 |
| 4 | Molde | 21 | 44:32 | 36 |
| 5 | Rosenborg | 21 | 39:30 | 33 |
| 6 | Lillestrom | 21 | 28:29 | 32 |
| 7 | Brann | 21 | 39:32 | 29 |
| 8 | Fredrikstad | 21 | 25:32 | 28 |
| 9 | Sarpsborg 08 FF | 21 | 24:29 | 25 |
| 10 | KFUM Oslo | 21 | 25:35 | 25 |
| 11 | Sandefjord | 21 | 21:27 | 23 |
| 12 | Valerenga | 21 | 34:43 | 23 |
| 13 | Ham-Kam | 21 | 29:44 | 23 |
| 14 | Aalesund | 21 | 33:46 | 21 |
| 15 | Kristiansund BK | 21 | 21:40 | 19 |
| 16 | Start | 21 | 22:44 | 16 |
Molde vs KFUM Oslo Prediction
Our AI model has analysed this Eliteserien fixture using team Elo ratings, recent form, projected goals and head-to-head history. The forecasts cover six independent markets - each probability is a separate model calculation, not derived from the match winner result.
How to Read These Forecasts
Each percentage shows the model's calculated likelihood for that outcome. Above 65% indicates strong statistical confidence; 45-65% reflects a competitive or open market; below 45% suggests the outcome is statistically less likely. All figures are for informational and entertainment purposes only.
About Eliteserien
ScorePredicts covers Norway football across all major markets. Use the navigation to explore today's full fixture list or filter by market.
Key Factors for This Match
Molde have led at half-time in 80% of their recent matches. KFUM Oslo have led at half-time in 60% of their recent matches. Molde and KFUM Oslo have met 5 times recently, averaging 4.1 goals per game in those meetings. This forecast is based on a complete recent-form dataset for both teams.
All forecasts are generated by statistical and machine learning models for informational and entertainment purposes only. They are not guaranteed and do not constitute financial or betting advice.