Skeid vs Egersund: prediction and stats
2. Division - Group 2Group 2 - 17Kick-off on August 28, 2021 at 12:00 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, 0 draws and 5 defeats; Egersund have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 28, 2021 | Vard(away) | 1-0 | 2. Division - Group 2 |
| Aug 22, 2021 | Vard(home) | 5-0 | 2. Division - Group 2 |
| Aug 18, 2021 | Odd II(away) | 0-1 | 2. Division - Group 2 |
| Aug 14, 2021 | Egersund(home) | 2-3 | 2. Division - Group 2 |
| Aug 1, 2021 | Lillestrom(home) | 1-2 | NM Cupen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 22, 2021 | Levanger(home) | 0-1 | 2. Division - Group 2 |
| Aug 19, 2021 | Flekkerøy(away) | 4-2 | 2. Division - Group 2 |
| Aug 14, 2021 | Skeid(away) | 3-2 | 2. Division - Group 2 |
| Aug 8, 2021 | Rosenborg II(home) | 2-0 | 2. Division - Group 2 |
| Jul 28, 2021 | Fram(away) | 2-3 | 2. Division - Group 2 |
What does the head-to-head say?
In the last meeting: 0 Skeid wins, 0 draws, 1 Egersund win.
| Date | Score | Competition |
|---|---|---|
| Aug 14, 2021 | Skeid 2-3 Egersund | 2. Division - Group 2 |
How many goals should we expect?
Skeid score 1.9 and concede 0.8 goals per match over their last 15; Egersund score 1.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skeid | 1.9 | 0.8 | 7 | 6/15 | 9/15 |
| Egersund | 1.9 | 1.3 | 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 Egersund?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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