Skeid vs Flekkerøy: prediction and stats
2. Division - Group 2Group 2 - 20Kick-off on September 18, 2021 at 02:00 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 draws and 4 defeats; Flekkerøy have 2, 7 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 11, 2021 | Levanger(home) | 2-1 | 2. Division - Group 2 |
| Sep 5, 2021 | Øygarden(away) | 0-0 | 2. Division - Group 2 |
| Sep 1, 2021 | Flekkerøy(home) | 2-0 | 2. Division - Group 2 |
| Aug 28, 2021 | Vard(away) | 1-0 | 2. Division - Group 2 |
| Aug 22, 2021 | Vard(home) | 5-0 | 2. Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 11, 2021 | Egersund(away) | 1-4 | 2. Division - Group 2 |
| Sep 5, 2021 | Notodden(home) | 1-1 | 2. Division - Group 2 |
| Sep 1, 2021 | Skeid(away) | 0-2 | 2. Division - Group 2 |
| Aug 28, 2021 | Arendal(home) | 2-2 | 2. Division - Group 2 |
| Aug 22, 2021 | Notodden(away) | 1-0 | 2. Division - Group 2 |
What does the head-to-head say?
Across the last 2 meetings: 2 Skeid win(s), 0 draw(s), 0 Flekkerøy win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 1, 2021 | Skeid 2-0 Flekkerøy | 2. Division - Group 2 |
| Jul 11, 2021 | Flekkerøy 0-1 Skeid | 2. Division - Group 2 |
How many goals should we expect?
Skeid score 1.6 and concede 0.7 goals per match over their last 15; Flekkerøy score 1.1 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skeid | 1.6 | 0.7 | 7 | 6/15 | 7/15 |
| Flekkerøy | 1.1 | 1.7 | 3 | 9/15 | 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