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 wins, 0 draws, 0 Vard wins.
| 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 | 23 | 6 | 2 | 15 | 33 | 52 | 20 |
A question about Skeid vs Vard?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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