Ham-Kam vs Rosenborg — Eliteserien forecast, Saturday, 24 October 2026

Eliteserien·Saturday, 24 October 2026·16:00

Ham-Kam

vs

16:00

— vs 5th

Rosenborg

Metis Forecast

Market-anchored distribution

Model updated

Ham-Kam

18%

Draw

22%

Rosenborg

60%

Expected goals

1.17–2.24

Ham-Kam · Rosenborg

Rosenborg win 60% of the current Metis Forecast. Most likely scores: 1–1 (9.8%), 1–2 (9.5%), 0–2 (8.2%).More forecast detail +

Both teams score in 62% of simulations.

Those three cover 28% of outcomes; the other 72% is spread across every remaining scoreline.

The most likely Rosenborg win is 1–2 (9.5%).

Ham-Kam score at least twice in 33%; Rosenborg in 65%.

Scoreline distribution

Match outcomes

Both teams score62%
Over 1.5 goals86%
Over 2.5 goals66%
Over 3.5 goals44%
Over 4.5 goals26%
Team scoring & clean sheets
Ham-Kam clean sheet11%
Rosenborg clean sheet31%
Ham-Kam score 2+33%
Rosenborg score 2+65%
Ham-Kam score 3+11%
Rosenborg score 3+39%

Model vs market

SourceHomeDrawAway
Raw Metis model18%21%61%
Market reference18%22%60%
Metis Forecast18%22%60%

Market reference: pinnacle, de-vigged (shin) · price snapshot .

The forecast combines the model’s scoreline structure with market information where a fresh price exists. The raw model is kept separate and benchmarked independently against the Pinnacle opening price.

Most likely scores

1–19.8%
1–29.5%
0–28.2%
1–37.2%
0–16.6%
0–36.2%

Market odds

MarketPinnacle
Ham-Kam5.17
Draw4.25
Rosenborg1.60

Market reference: Pinnacle. Prices shown for context, not as a best-price comparison.

Reference prices, published with the 23 Oct · 04:31 UTC model run. They are not live and will have moved since.

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Rosenborg

14 MarAvs Molde0–2L
22 MarHvs Valerenga0–2L
6 AprAvs Tromso0–2L
12 AprHvs Sarpsborg 082–1W
18 AprAvs Sandefjord0–0D

Head to head

No previous meetings in the Metis results archive for this competition.

Model context

StatHam-Kam
(Home · no matches)
Rosenborg
(Away · 11 matches)
BTTS rate—27.3%
Over 2.5 rate—54.5%
Clean sheet—36.4%
Avg goals—2.91

Home stats use Ham-Kam's home record; away stats use Rosenborg's away record this season. These are completed-match rates over the samples shown above, not model probabilities — early in a season a handful of matches produces 0% and 100% readings.