Skeid vs Rosenborg II: prediction and stats
2. Division - Group 2Group 2 - 7Kick-off on May 31, 2021 at 03:30 PM (UTC)Nordre Åsen kunstgress, Oslo
Match postponed, new date to be confirmed
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skeid have 10 wins, 2 draws and 3 defeats; Rosenborg II have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 22, 2020 | Brattvåg(away) | 0-2 | 2. Division - Group 1 |
| Nov 14, 2020 | Fredrikstad(home) | 0-0 | 2. Division - Group 1 |
| Nov 8, 2020 | Tromsdalen Uil(home) | 1-0 | 2. Division - Group 1 |
| Oct 31, 2020 | Alta(away) | 1-0 | 2. Division - Group 1 |
| Oct 24, 2020 | Kvik Halden(home) | 3-1 | 2. Division - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 29, 2021 | Nardo(home) | 2-5 | Friendlies Clubs |
| Oct 3, 2020 | Bryne(away) | 0-1 | 2. Division - Group 2 |
| Sep 28, 2020 | Arendal(home) | 0-0 | 2. Division - Group 2 |
| Sep 21, 2020 | Egersund(away) | 0-4 | 2. Division - Group 2 |
| Sep 14, 2020 | Nardo(home) | 0-1 | 2. Division - Group 2 |
How many goals should we expect?
Skeid score 1.8 and concede 1.1 goals per match over their last 15; Rosenborg II score 1.3 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skeid | 1.8 | 1.1 | 5 | 8/15 | 8/15 |
| Rosenborg II | 1.3 | 2.1 | 4 | 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 | 23 | 6 | 2 | 15 | 33 | 52 | 20 |
A question about Skeid vs Rosenborg II?
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy