Skeid vs Vard: prediction and stats
2. Division - Group 2Group 2 - 22Kick-off on October 2, 2021 at 01:00 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; Vard have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2021 | Notodden(away) | 3-2 | 2. Division - Group 2 |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 27, 2021 | Odd II(away) | 2-0 | 2. Division - Group 2 |
| Sep 18, 2021 | Øygarden(home) | 2-0 | 2. Division - Group 2 |
| Sep 13, 2021 | Rosenborg II(away) | 1-0 | 2. Division - Group 2 |
| Sep 4, 2021 | Fram(home) | 1-0 | 2. Division - Group 2 |
| Sep 1, 2021 | Egersund(away) | 0-2 | 2. Division - Group 2 |
What does the head-to-head say?
Across the last 2 meetings: 2 Skeid win(s), 0 draw(s), 0 Vard win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 28, 2021 | Vard 0-1 Skeid | 2. Division - Group 2 |
| Aug 22, 2021 | Skeid 5-0 Vard | 2. Division - Group 2 |
How many goals should we expect?
Skeid score 1.9 and concede 0.9 goals per match over their last 15; Vard score 1.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skeid | 1.9 | 0.9 | 7 | 7/15 | 9/15 |
| Vard | 1.3 | 1.3 | 5 | 6/15 | 6/15 |
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