Brann vs Molde — Eliteserien forecast, Sunday, 1 November 2026
Metis Forecast
Independent model — no market priceModel updated
Brann
37%
Draw
24%
Molde
39%
Expected goals
1.67–1.73
Brann · Molde
Molde win 39% of the current Metis Forecast. Most likely scores: 1–1 (10.4%), 1–2 (8.3%), 2–1 (8.1%).More forecast detail +
Both teams score in 68% of simulations.
Those three cover 27% of outcomes; the other 73% is spread across every remaining scoreline.
Brann score at least twice in 50%; Molde in 52%.
Scoreline distribution
Molde goals →
| 0 | 1 | 2 | 3 | 4 | 5+ | |
|---|---|---|---|---|---|---|
| 0 | 4.1 | 5.0 | 5.0 | 2.9 | 1.2 | 0.6 |
| 1 | 4.8 | 10.4 | 8.3 | 4.8 | 2.1 | 1.0 |
| 2 | 4.7 | 8.1 | 7.0 | 4.0 | 1.7 | 0.8 |
| 3 | 2.6 | 4.5 | 3.9 | 2.2 | 1.0 | 0.5 |
| 4 | 1.1 | 1.9 | 1.6 | 0.9 | 0.4 | 0.2 |
| 5+ | 0.5 | 0.9 | 0.7 | 0.4 | 0.2 | 0.1 |
Rows: Brann goals · values are percentages
Match outcomes
Team scoring & clean sheets
Most likely scores
Market odds
| Market | Pinnacle |
|---|---|
| Brann | 2.96 |
| Draw | 4.01 |
| Molde | 2.16 |
Market reference: Pinnacle. Prices shown for context, not as a best-price comparison.
Reference prices, published with the 26 Oct · 04:41 UTC model run. They are not live and will have moved since.
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Brann
| 15 Mar | A | vs Kristiansund | 2–3 | L |
| 22 Mar | H | vs Tromso | 1–2 | L |
| 6 Apr | A | vs HamKam | 5–1 | W |
| 12 Apr | H | vs Sandefjord | 0–1 | L |
| 18 Apr | A | vs Viking | 2–3 | L |
Molde
| 14 Mar | H | vs Rosenborg | 2–0 | W |
| 21 Mar | A | vs Viking | 1–4 | L |
| 6 Apr | H | vs Lillestrom | 0–1 | L |
| 12 Apr | H | vs HamKam | 4–1 | W |
| 19 Apr | A | vs Start | 1–1 | D |
Head to head
| 18 Jul 26 | MoldevsBrann | 1 – 2 |
Brann: 1W 0D 0L in last 1
Model context
| Stat | Brann (Home · 12 matches) | Molde (Away · 11 matches) |
|---|---|---|
| BTTS rate | 75.0% | 81.8% |
| Over 2.5 rate | 83.3% | 72.7% |
| Clean sheet | 8.3% | 9.1% |
| Avg goals | 3.17 | 3.91 |
Home stats use Brann's home record; away stats use Molde'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.