Bærum vs Senja: result 2-0 and analysis
2. Division - Group 1Group 1 - 23Kick-off on October 23, 2021 at 10:30 AM (UTC)AJ Arena, Sandvika
Full time
What was the result of Bærum vs Senja?
Bærum won 2-0 on October 23, 2021.
Goalscorers
- 32′Lars Ivar SlemdalBærum (pen.)
- 77′K. SørensenBærum
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bærum have 5 wins, 2 draws and 8 defeats; Senja have 1, 5 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 18, 2021 | Brattvåg(away) | 0-2 | 2. Division - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 18, 2021 | Vålerenga II(home) | 1-0 | 2. Division - Group 1 |
| Oct 10, 2021 | Moss(away) | 0-4 | 2. Division - Group 1 |
| Oct 2, 2021 | Kvik Halden(home) | 2-3 | 2. Division - Group 1 |
| Sep 25, 2021 | Alta(away) | 1-3 | 2. Division - Group 1 |
| Sep 19, 2021 | Kongsvinger(away) | 0-5 | 2. Division - Group 1 |
What does the head-to-head say?
Across the last 3 meetings: 0 Bærum win(s), 1 draw(s), 2 Senja win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 17, 2021 | Senja 4-1 Bærum | 2. Division - Group 1 |
| Oct 19, 2019 | Bærum 1-3 Senja | 2. Division - Group 2 |
| Jun 8, 2019 | Senja 1-1 Bærum | 2. Division - Group 2 |
How many goals should we expect?
Bærum score 1.7 and concede 2.1 goals per match over their last 15; Senja score 0.9 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bærum | 1.7 | 2.1 | 0 | 12/15 | 12/15 |
| Senja | 0.9 | 2.4 | 1 | 10/15 | 9/15 |
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