Rosenborg II vs Skeid: prediction and stats
2. Division - Group 2Group 2 - 21Kick-off on September 27, 2021 at 02:00 PM (UTC)Skoglunden, Trondheim
Match postponed — new date to be confirmed
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; Skeid have 10, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 27, 2021 | Fram(home) | 1-2 | 2. Division - Group 2 |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 25, 2021 | Arendal(away) | 2-2 | 2. Division - Group 2 |
| Sep 18, 2021 | Sotra(home) | 3-0 | 2. Division - Group 2 |
| Sep 11, 2021 | Levanger(home) | 2-1 | 2. Division - Group 2 |
| Sep 5, 2021 | Øygarden(away) | 0-0 | 2. Division - Group 2 |
| Sep 1, 2021 | Flekkerøy(home) | 2-0 | 2. Division - Group 2 |
What does the head-to-head say?
Across the last 1 meetings: 0 Rosenborg II win(s), 0 draw(s), 1 Skeid win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 26, 2021 | Rosenborg II 0-3 Skeid | 2. Division - Group 2 |
Last archived meeting: Rosenborg II vs Skeid on Jun 26, 2021
How many goals should we expect?
Rosenborg II score 1.0 and concede 2.7 goals per match over their last 15; Skeid score 1.8 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rosenborg II | 1.0 | 2.7 | 0 | 9/15 | 9/15 |
| Skeid | 1.8 | 0.7 | 8 | 6/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Skeid | 16 | 4 | 1 | 11 | 22 | 34 | 13 |
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