Oppsal vs Bærum: result 2-2 and analysis
2. Division - Group 2Regular Season - 18Kick-off on August 31, 2019 at 02:00 PM (UTC)Trasop kunstgress, Oslo
Full time
What was the result of Oppsal vs Bærum?
Oppsal and Bærum drew 2-2 on August 31, 2019.
Goalscorers
- 14′Jan Christian Egseth AubertBærum
- 25′Jan Christian Egseth AubertBærum
- 43′T. KongerudOppsal
- 90′Momodou ChamOppsal (o.g.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Oppsal have 3 wins, 2 draws and 10 defeats; Bærum have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 25, 2019 | Senja(away) | 1-3 | 2. Division - Group 2 |
| Aug 18, 2019 | Odd II(home) | 1-0 | 2. Division - Group 2 |
| Aug 10, 2019 | Alta(away) | 0-2 | 2. Division - Group 2 |
| Aug 3, 2019 | Asane(home) | 2-5 | 2. Division - Group 2 |
| Jul 27, 2019 | Bærum(away) | 5-5 | 2. Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 24, 2019 | Fram(home) | 2-1 | 2. Division - Group 2 |
| Aug 17, 2019 | Sotra(away) | 2-3 | 2. Division - Group 2 |
| Aug 11, 2019 | Asker(home) | 0-1 | 2. Division - Group 2 |
| Aug 4, 2019 | Alta(away) | 2-1 | 2. Division - Group 2 |
| Jul 27, 2019 | Oppsal(home) | 5-5 | 2. Division - Group 2 |
What does the head-to-head say?
In the last meeting: 0 Oppsal wins, 1 draw, 0 Bærum wins.
| Date | Score | Competition |
|---|---|---|
| Jul 27, 2019 | Bærum 5-5 Oppsal | 2. Division - Group 2 |
How many goals should we expect?
Oppsal score 1.4 and concede 2.9 goals per match over their last 15; Bærum score 2.1 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Oppsal | 1.4 | 2.9 | 2 | 9/15 | 11/15 |
| Bærum | 2.1 | 1.9 | 1 | 11/15 | 12/15 |
Over the last 15 matches in all competitions.
A question about Oppsal 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