Skeid vs Øygarden: prediction and stats
2. Division - Group 2Group 2 - 15Kick-off on August 14, 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, 1 draw and 4 defeats; Øygarden have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 14, 2021 | Egersund(home) | 2-3 | 2. Division - Group 2 |
| Aug 1, 2021 | Lillestrom(home) | 1-2 | NM Cupen |
| Jul 28, 2021 | Øygarden(home) | 2-1 | 2. Division - Group 2 |
| Jul 25, 2021 | Oppsal(away) | 2-0 | NM Cupen |
| Jul 21, 2021 | Levanger(away) | 2-1 | 2. Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 14, 2021 | Kjelsås(away) | 2-2 | 2. Division - Group 2 |
| Aug 4, 2021 | Vard(home) | 3-1 | 2. Division - Group 2 |
| Aug 1, 2021 | Fyllingsdalen(away) | 2-1 | NM Cupen |
| Jul 28, 2021 | Skeid(away) | 1-2 | 2. Division - Group 2 |
| Jul 25, 2021 | Os(away) | 6-2 | NM Cupen |
What does the head-to-head say?
In the last meeting: 1 Skeid win, 0 draws, 0 Øygarden wins.
| Date | Score | Competition |
|---|---|---|
| Jul 28, 2021 | Skeid 2-1 Øygarden | 2. Division - Group 2 |
How many goals should we expect?
Skeid score 1.8 and concede 0.9 goals per match over their last 15; Øygarden score 2.0 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skeid | 1.8 | 0.9 | 6 | 8/15 | 9/15 |
| Øygarden | 2.0 | 1.6 | 5 | 7/15 | 10/15 |
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 Øygarden?
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