Oppsal vs Bærum: result 0-1 and analysis
3. Division - Girone 3Group 3 - 18Kick-off on August 24, 2024 at 01:00 PM (UTC)Trasop kunstgress, Oslo
Full time
What was the result of Oppsal vs Bærum?
Bærum won 0-1 on August 24, 2024.
Goalscorers
- 64′?Bærum
What is the recent form of both teams?
Over their last 15 matches in all competitions, Oppsal have 4 wins, 2 draws and 9 defeats; Bærum have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 20, 2024 | Skeid II(away) | 2-4 | 3. Division - Girone 3 |
| Aug 11, 2024 | Asker(home) | 0-1 | 3. Division - Girone 3 |
| Jul 13, 2024 | Mjøndalen II(away) | 0-3 | 3. Division - Girone 3 |
| Jul 8, 2024 | KFUM II(home) | 0-0 | 3. Division - Girone 3 |
| Jun 29, 2024 | Flint(away) | 1-3 | 3. Division - Girone 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 17, 2024 | Asker(away) | 1-0 | 3. Division - Girone 3 |
| Aug 12, 2024 | Sarpsborg 08 II(home) | 2-2 | 3. Division - Girone 3 |
| Jul 15, 2024 | KFUM II(away) | 2-2 | 3. Division - Girone 3 |
| Jul 6, 2024 | Mjøndalen II(home) | 4-3 | 3. Division - Girone 3 |
| Jun 29, 2024 | Skeid II(away) | 5-1 | 3. Division - Girone 3 |
What does the head-to-head say?
Across the last 3 meetings: 0 Oppsal win(s), 2 draw(s), 1 Bærum win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 1, 2024 | Bærum 3-2 Oppsal | 3. Division - Girone 3 |
| Aug 31, 2019 | Oppsal 2-2 Bærum | 2. Division - Group 2 |
| Jul 27, 2019 | Bærum 5-5 Oppsal | 2. Division - Group 2 |
How many goals should we expect?
Oppsal score 1.7 and concede 1.7 goals per match over their last 15; Bærum score 1.9 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Oppsal | 1.7 | 1.7 | 5 | 5/15 | 10/15 |
| Bærum | 1.9 | 2.0 | 3 | 10/15 | 11/15 |
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