Asker vs Bærum: result 0-4 and analysis
2. Division - Group 2Regular Season - 7Kick-off on May 25, 2019 at 02:00 PM (UTC)Føyka Kunstgress, Asker
Full time
What was the result of Asker vs Bærum?
Bærum won 0-4 on May 25, 2019.
Goalscorers
- 10′Jan Christian Egseth AubertBærum
- 38′A. RoguljBærum
- 53′D. BergBærum
- 65′A. MárkusBærum
What is the recent form of both teams?
Over their last 8 matches in all competitions, Asker have 2 wins, 2 draws and 4 defeats; Bærum have 3, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 22, 2019 | KFUM Oslo(home) | 2-3 | NM Cupen |
| May 18, 2019 | Sotra(away) | 0-1 | 2. Division - Group 2 |
| May 11, 2019 | Grorud(home) | 0-0 | 2. Division - Group 2 |
| May 4, 2019 | Floro(away) | 0-1 | 2. Division - Group 2 |
| May 1, 2019 | Vestfossen(away) | 3-0 | NM Cupen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 22, 2019 | Notodden(home) | 2-1 | NM Cupen |
| May 19, 2019 | Alta(home) | 3-1 | 2. Division - Group 2 |
| May 11, 2019 | Kjelsås(away) | 1-1 | 2. Division - Group 2 |
| May 5, 2019 | Grorud(away) | 1-2 | 2. Division - Group 2 |
| May 1, 2019 | Follo(away) | 0-0 | NM Cupen |
How many goals should we expect?
Asker score 1.0 and concede 1.0 goals per match over their last 8; Bærum score 1.1 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Asker | 1.0 | 1.0 | 4 | 2/8 | 3/8 |
| Bærum | 1.1 | 1.4 | 2 | 5/8 | 5/8 |
Over the last 8 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 Asker vs Bærum?
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