Asane vs Bærum: result 6-1 and analysis
2. Division - Group 2Regular Season - 22Kick-off on September 28, 2019 at 12:00 PM (UTC)Åsane Arena, Bergen
Full time
What was the result of Asane vs Bærum?
Asane won 6-1 on September 28, 2019.
Goalscorers
- 19′H. LorentzenAsane
- 33′S. NygårdAsane
- 42′Senai Eyob HagosAsane
- 76′D. BergBærum (pen.)
- 83′Joakim Vatle HammerslandAsane
- 90′H. LorentzenAsane
- 90′H. LorentzenAsane
What is the recent form of both teams?
Over their last 15 matches in all competitions, Asane have 7 wins, 4 draws and 4 defeats; Bærum have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2019 | Senja(away) | 2-0 | 2. Division - Group 2 |
| Sep 16, 2019 | Odd II(home) | 2-0 | 2. Division - Group 2 |
| Sep 8, 2019 | Alta(away) | 2-2 | 2. Division - Group 2 |
| Aug 31, 2019 | Grorud(away) | 3-4 | 2. Division - Group 2 |
| Aug 24, 2019 | Sotra(home) | 2-1 | 2. Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2019 | Elverum(home) | 1-0 | 2. Division - Group 2 |
| Sep 14, 2019 | Floro(away) | 3-3 | 2. Division - Group 2 |
| Sep 7, 2019 | Kjelsås(home) | 1-4 | 2. Division - Group 2 |
| Aug 31, 2019 | Oppsal(away) | 2-2 | 2. Division - Group 2 |
| Aug 24, 2019 | Fram(home) | 2-1 | 2. Division - Group 2 |
What does the head-to-head say?
Across the last 1 meetings: 1 Asane win(s), 0 draw(s), 0 Bærum win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 1, 2019 | Bærum 0-2 Asane | 2. Division - Group 2 |
How many goals should we expect?
Asane score 2.4 and concede 1.7 goals per match over their last 15; Bærum score 2.0 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Asane | 2.4 | 1.7 | 4 | 10/15 | 10/15 |
| Bærum | 2.0 | 2.3 | 1 | 12/15 | 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