2026-10-21 · 8 fixtures
Live matches first, then by kick-off time.
Standings and table positions. Combined with our match predictions and analysis above for full context.
| # | Team | P | W | D | L | GF | GA | GD | Pts |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Bodø/Glimt | 23 | 18 | 2 | 3 | 58 | 20 | +38 | 56 |
| 2 | Viking FK | 23 | 18 | 2 | 3 | 59 | 22 | +37 | 56 |
| 3 | Molde | 23 | 12 | 4 | 7 | 52 | 35 | +17 | 40 |
| 4 | Tromsoe | 23 | 11 | 7 | 5 | 42 | 31 | +11 | 40 |
| 5 | Rosenborg | 23 | 11 | 4 | 8 | 43 | 31 | +12 | 37 |
| 6 | Lillestrom | 23 | 11 | 3 | 9 | 32 | 31 | +1 | 36 |
| 7 | Brann | 23 | 9 | 2 | 12 | 40 | 37 | +3 | 29 |
| 8 | Fredrikstad FK | 23 | 8 | 5 | 10 | 28 | 36 | -8 | 29 |
| 9 | Kfum | 23 | 8 | 5 | 10 | 28 | 37 | -9 | 29 |
| 10 | Sarpsborg 08 | 23 | 7 | 7 | 9 | 28 | 34 | -6 | 28 |
| 11 | Valerenga IF | 23 | 7 | 5 | 11 | 38 | 46 | -8 | 26 |
| 12 | Ham-Kam | 23 | 7 | 5 | 11 | 33 | 48 | -15 | 26 |
| 13 | Sandefjord | 23 | 6 | 6 | 11 | 22 | 30 | -8 | 24 |
| 14 | Aalesunds | 23 | 5 | 9 | 9 | 39 | 51 | -12 | 24 |
| 15 | Kristiansund | 23 | 5 | 4 | 14 | 23 | 47 | -24 | 19 |
| 16 | Start | 23 | 4 | 4 | 15 | 25 | 54 | -29 | 16 |
Our power ratings measure each team's attacking and defensive strength on a 1-10 scale. Attack power is derived from expected goals (xG) creation, while defense power reflects xG conceded. A rating of 10 means elite, 5 is average, and 1 is weak. These ratings feed into the Poisson model that generates match predictions.
The attack number (ATT) shows how dangerous a team is at scoring — higher means more goals expected. The defense number (DEF) shows how well a team prevents goals — higher means fewer goals conceded. Together they determine the expected goals (xG) for each team in every match, which drives all scoreline probabilities.
Predictions use a Poisson distribution model. For each match, we calculate expected goals for both teams from their attack/defense power ratings. The model then computes the probability of every possible scoreline (0-0 through 5-5) and ranks them by likelihood. The same method applies to over/under, BTTS, and correct score markets.
Expected goals (xG) is a statistical measure that quantifies the likelihood of a shot becoming a goal. A team's cumulative xG across a match estimates how many goals they should score based on chance quality. In Eliteserien, xG data comes from the SSTrader API and reflects pre-match projections from team form and historical performance.
Yes, all Eliteserien predictions on ProSoccer are free. You can see match-by-match predictions including 1X2 probabilities, over/under lines, correct scores, and bet builder suggestions without paying or registering. Bookmaker odds are shown only after you tap to expand, keeping the content search-engine compliant.
Over/Under 2.5 goals is typically the most accurate market for statistical models, with 55-65% accuracy. Correct score predictions are lower-probability by nature but can identify value. 1X2 (match winner) accuracy varies by league competitiveness. Our model performs best on goal-line markets because goal distribution follows a Poisson pattern.