Rana vs Rosenborg II: result 2-3 and analysis
3. Division - Girone 5Girone 5 - 20Kick-off on September 12, 2022 at 05:30 PM (UTC)Nye Sagbakken Stadion, Mo i Rana
Full time
What was the result of Rana vs Rosenborg II?
Rosenborg II won 2-3 on September 12, 2022.
Goalscorers
- 10′L. QvigstadRosenborg II
- 15′?Rana
- 59′?Rosenborg II
- 79′?Rana
- 90′?Rosenborg II
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rana have 5 wins, 1 draws and 9 defeats; Rosenborg II have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 3, 2022 | Steinkjer(away) | 2-1 | 3. Division - Girone 5 |
| Aug 27, 2022 | Nardo(home) | 3-6 | 3. Division - Girone 5 |
| Aug 21, 2022 | Innstranden(away) | 5-1 | 3. Division - Girone 5 |
| Aug 13, 2022 | Kolstad(home) | 2-2 | 3. Division - Girone 5 |
| Aug 6, 2022 | Melhus(away) | 1-3 | 3. Division - Girone 5 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 5, 2022 | Melhus(home) | 2-0 | 3. Division - Girone 5 |
| Sep 1, 2022 | Melhus(away) | 1-4 | 3. Division - Girone 5 |
| Aug 29, 2022 | Steinkjer(home) | 5-2 | 3. Division - Girone 5 |
| Aug 22, 2022 | Tiller(away) | 2-2 | 3. Division - Girone 5 |
| Aug 17, 2022 | Nardo(away) | 1-1 | 3. Division - Girone 5 |
What does the head-to-head say?
Across the last 1 meetings: 0 Rana win(s), 0 draw(s), 1 Rosenborg II win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 27, 2022 | Rosenborg II 7-4 Rana | 3. Division - Girone 5 |
How many goals should we expect?
Rana score 2.1 and concede 2.8 goals per match over their last 15; Rosenborg II score 2.9 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rana | 2.1 | 2.8 | 2 | 11/15 | 13/15 |
| Rosenborg II | 2.9 | 2.2 | 2 | 12/15 | 12/15 |
Over the last 15 matches in all competitions.
How does Footlab compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy