Bærum vs Asker: prediction and stats
2. Division - Group 1Group 1 - 26Kick-off on October 30, 2021 at 12:00 PM (UTC)AJ Arena, Sandvika
Match postponed — new date to be confirmed
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bærum have 6 wins, 1 draws and 8 defeats; Asker have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2021 | Senja(home) | 2-0 | 2. Division - Group 1 |
| Oct 16, 2021 | Fløya(away) | 2-1 | 2. Division - Group 1 |
| Oct 9, 2021 | Alta(home) | 3-2 | 2. Division - Group 1 |
| Oct 2, 2021 | Asker(away) | 0-3 | 2. Division - Group 1 |
| Sep 25, 2021 | Moss(home) | 4-1 | 2. Division - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 24, 2021 | Alta(away) | 1-3 | 2. Division - Group 1 |
| Oct 20, 2021 | Kongsvinger(away) | 1-3 | 2. Division - Group 1 |
| Oct 16, 2021 | Moss(home) | 2-1 | 2. Division - Group 1 |
| Oct 12, 2021 | Tromsdalen Uil(home) | 3-2 | 2. Division - Group 1 |
| Oct 9, 2021 | Vålerenga II(away) | 5-0 | 2. Division - Group 1 |
What does the head-to-head say?
Across the last 5 meetings: 1 Bærum win(s), 0 draw(s), 4 Asker win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 2, 2021 | Asker 3-0 Bærum | 2. Division - Group 1 |
| Aug 4, 2021 | Bærum 1-2 Asker | 2. Division - Group 1 |
| Jul 25, 2020 | Asker 2-1 Bærum | 2. Division - Group 2 |
| Aug 11, 2019 | Bærum 0-1 Asker | 2. Division - Group 2 |
| May 25, 2019 | Asker 0-4 Bærum | 2. Division - Group 2 |
How many goals should we expect?
Bærum score 1.7 and concede 1.9 goals per match over their last 15; Asker score 2.2 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bærum | 1.7 | 1.9 | 1 | 11/15 | 11/15 |
| Asker | 2.2 | 1.5 | 3 | 11/15 | 12/15 |
Over the last 15 matches in all competitions.
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