Bærum vs Asker: result 0-1 and analysis
2. Division - Group 2Regular Season - 15Kick-off on August 11, 2019 at 02:00 PM (UTC)AJ Arena, Sandvika
Full time
What was the result of Bærum vs Asker?
Asker won 0-1 on August 11, 2019.
Goalscorers
- 43′T. HestadAsker
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bærum have 6 wins, 5 draws and 4 defeats; Asker have 4, 7 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 4, 2019 | Alta(away) | 2-1 | 2. Division - Group 2 |
| Jul 27, 2019 | Oppsal(home) | 5-5 | 2. Division - Group 2 |
| Jul 21, 2019 | Fram(away) | 0-3 | 2. Division - Group 2 |
| Jun 26, 2019 | Fram(away) | 1-3 | NM Cupen |
| Jun 22, 2019 | Sotra(home) | 2-2 | 2. Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 4, 2019 | Senja(home) | 2-0 | 2. Division - Group 2 |
| Jul 28, 2019 | Elverum(away) | 1-1 | 2. Division - Group 2 |
| Jul 21, 2019 | Mjølner(home) | 2-2 | 2. Division - Group 2 |
| Jun 22, 2019 | Asane(away) | 1-1 | 2. Division - Group 2 |
| Jun 15, 2019 | Oppsal(away) | 3-1 | 2. Division - Group 2 |
What does the head-to-head say?
In the last meeting: 1 Bærum win, 0 draws, 0 Asker wins.
| Date | Score | Competition |
|---|---|---|
| May 25, 2019 | Asker 0-4 Bærum | 2. Division - Group 2 |
How many goals should we expect?
Bærum score 2.0 and concede 1.8 goals per match over their last 15; Asker score 1.2 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bærum | 2.0 | 1.8 | 2 | 11/15 | 11/15 |
| Asker | 1.2 | 1.1 | 6 | 6/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 14 | Asker | 26 | 3 | 6 | 18 | 32 | 68 | 15 |
A question about Bærum vs Asker?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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