Norwegian Eliteserien, round 26 · Saturday, 7 November, (UTC+3)
Rosenborg — Start
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In short
Rosenborg are clear favourites: 74% against 9% for the opponent, draw 17%.
3.5 goals expected in total — close to the competition average (3.3).
Over 2.5 goals — 66%, both teams to score — 59%.
Why
- By the strength ratings Rosenborg are about 0.9 goals per match stronger.
- Rosenborg are 372 points higher on Elo.
Facts
- League table: Rosenborg — No. 4, 43 pts; Start — No. 16, 19 pts. A gap of 24 pts.
- Rosenborg: 3 wins in a row.
Probabilities
| Expected goals: Rosenborg — Start What is xG? | 2.5–1.0 | |
| Rosenborg not to lose | 91% | |
| Start not to lose | 26% | |
| No draw | 83% | |
| Both teams to score: yes | 59% | |
| Both teams to score: no | 41% | |
| Total over 2.5 | 66% | |
| Total under 2.5 | 34% |
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Team news
The teams in their last matches
| Stat | Rosenborg | Start |
|---|---|---|
| Goals scored per match | 2.8 | 1.0 |
| Goals conceded per match | 1.0 | 2.1 |
| xG per match | 2.20 | 1.71 |
| Opponents’ xG | 1.40 | 2.10 |
| Shots | 17.9 | 16.7 |
| On target | 7.2 | 3.8 |
| Corners | 5.9 | 5.8 |
| Cards | 2.0 | 1.3 |
| Possession, % | 54 | 45 |
Form
- 31.10away · Fredrikstad3:0
- 24.10away · Hamarkameratene3:0
- 18.10away · Sarpsborg 083:0
- 10.10Sandefjord1:1
- 19.09away · Kristiansund3:1
- 01.11Lillestrøm0:1
- 25.10Sandefjord1:0
- 18.10away · Molde1:6
- 11.10Hamarkameratene2:4
- 20.09away · Sandefjord0:3
Head to head
- 18.07.2026Start — Rosenborg0:3
Table
| # | Team | P | W | +/− | Pts |
|---|---|---|---|---|---|
| 3, Europa League or Conference League | Molde | 25 | 13 | +20 | 43 |
| 4, Europa League or Conference League | Rosenborg | 25 | 13 | +18 | 43 |
| 5 | Lillestrøm | 25 | 13 | +3 | 42 |
| 15, Relegation | Kristiansund | 25 | 6 | -22 | 23 |
| 16, Relegation | Start | 25 | 5 | -29 | 19 |
Eliteserien on the same day
- 2726472The model's most likely outcome: 2Model's score: 0:23.6
This is the model’s statistical estimate, not a recommendation. An outcome at 74% will not happen in roughly 26 matches out of 100. How to read probabilities →