Norwegian Eliteserien, round 25 · Sunday, 1 November, MSK
KFUM — Hamarkameratene
☆ Save matchModel prediction for 1 November
Preliminary forecast: the match is more than a week away. Closer to it the model takes in fresh form, injuries and line-ups, and the numbers may move.
In short
KFUM are clear favourites: 48% against 25% for the opponent, draw 27%.
The model expects few goals: 2.9 in total, against a competition average of 3.2.
Over 2.5 goals — 55%, both teams to score — 59%.
Why
- By the strength ratings KFUM are about 0.4 goals per match stronger.
Probabilities
| Expected goals: KFUM — Hamarkameratene What is xG? | 1.7–1.2 | |
| KFUM not to lose | 75% | |
| Hamarkameratene not to lose | 52% | |
| No draw | 73% | |
| Both teams to score: yes | 59% | |
| Both teams to score: no | 41% | |
| Total over 2.5 | 55% | |
| Total under 2.5 | 45% |
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- Hamarkameratene goals
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Form
- 12.10Vålerenga2:1
- 18.09away · Sarpsborg 083:1
- 13.09Aalesund2:1
- 06.09away · Molde0:2
- 30.08away · Start1:4
- 11.10away · Start4:2
- 20.09away · Tromsø2:3
- 13.09Molde1:5
- 05.09away · Rosenborg0:4
- 30.08Kristiansund2:2
Head to head
- 19.04.2026Hamarkameratene — KFUM4:0
- 22.08.2025KFUM — Hamarkameratene2:2
- 02.05.2025Hamarkameratene — KFUM0:0
- 01.12.2024Hamarkameratene — KFUM0:2
- 02.04.2024KFUM — Hamarkameratene1:1
Table
| # | Team | P | W | +/− | Pts |
|---|---|---|---|---|---|
| 9 | Sarpsborg 08 | 22 | 7 | -3 | 28 |
| 10 | KFUM | 22 | 8 | -9 | 28 |
| 11 | Hamarkameratene | 22 | 7 | -13 | 26 |
| 12 | Sandefjord | 22 | 6 | -6 | 24 |
Eliteserien on the same day
- BrannMoldepreliminary4127331The model's most likely outcome: 1Model's score: 2:13.4
- Sarpsborg 08Kristiansundpreliminary6520141The model's most likely outcome: 1Model's score: 2:13.3
- StartLillestrømpreliminary3727361The model's most likely outcome: 1Model's score: 1:03.3
- VålerengaTromsøpreliminary3327402The model's most likely outcome: 2Model's score: 1:23.2
This is the model’s statistical estimate, not a recommendation. An outcome at 48% will not happen in roughly 52 matches out of 100. How to read probabilities →