Rosenborg II vs Fram: result 1-2 and analysis
2. Division - Group 2Group 2 - 19Kick-off on September 27, 2021 at 01:00 PM (UTC)Skoglunden, Trondheim
Full time
What was the result of Rosenborg II vs Fram?
Fram won 1-2 on September 27, 2021.
Goalscorers
- 56′D. GaustadRosenborg II
- 88′C. IfejilikaFram
- 90′C. IfejilikaFram
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rosenborg II have 1 wins, 2 draws and 12 defeats; Fram have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 20, 2021 | Kjelsås(away) | 1-6 | 2. Division - Group 2 |
| Sep 13, 2021 | Vard(home) | 0-1 | 2. Division - Group 2 |
| Sep 5, 2021 | Sotra(away) | 0-5 | 2. Division - Group 2 |
| Sep 2, 2021 | Odd II(home) | 2-3 | 2. Division - Group 2 |
| Aug 27, 2021 | Levanger(away) | 1-5 | 2. Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 18, 2021 | Notodden(home) | 2-3 | 2. Division - Group 2 |
| Sep 12, 2021 | Nardo(home) | 2-2 | 2. Division - Group 2 |
| Sep 4, 2021 | Vard(away) | 0-1 | 2. Division - Group 2 |
| Sep 1, 2021 | Levanger(home) | 0-0 | 2. Division - Group 2 |
| Aug 28, 2021 | Kjelsås(away) | 1-1 | 2. Division - Group 2 |
What does the head-to-head say?
Across the last 2 meetings: 1 Rosenborg II win(s), 0 draw(s), 1 Fram win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 11, 2021 | Fram 3-0 Rosenborg II | 2. Division - Group 2 |
| Aug 23, 2020 | Rosenborg II 3-0 Fram | 2. Division - Group 2 |
How many goals should we expect?
Rosenborg II score 0.9 and concede 2.9 goals per match over their last 15; Fram score 1.5 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rosenborg II | 0.9 | 2.9 | 0 | 8/15 | 9/15 |
| Fram | 1.5 | 1.5 | 2 | 9/15 | 8/15 |
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