Åskollen vs Asker: result 3-4 and analysis
3. Division - Girone 3Group 3 - 11Kick-off on June 15, 2024 at 01:00 PM (UTC)Glassverket Kunstgress, Drammen
Full time
What was the result of Åskollen vs Asker?
Asker won 3-4 on June 15, 2024.
Goalscorers
- 45′R. FaziAsker
- 45′?Åskollen
- 50′R. FaziAsker
- 58′R. FaziAsker
- 63′?Åskollen
- 74′R. FaziAsker
- 88′?Åskollen
What is the recent form of both teams?
Over their last 15 matches in all competitions, Åskollen have 2 wins, 3 draws and 10 defeats; Asker have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 8, 2024 | Gamle Oslo(away) | 0-2 | 3. Division - Girone 3 |
| Jun 3, 2024 | KFUM II(away) | 1-3 | 3. Division - Girone 3 |
| May 25, 2024 | Flint(home) | 3-0 | 3. Division - Girone 3 |
| May 16, 2024 | Åssiden IF(away) | 0-3 | 3. Division - Girone 3 |
| May 12, 2024 | Mjøndalen II(home) | 2-2 | 3. Division - Girone 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 8, 2024 | KFUM II(home) | 4-2 | 3. Division - Girone 3 |
| Jun 1, 2024 | Ullern(away) | 1-2 | 3. Division - Girone 3 |
| May 28, 2024 | Skeid II(home) | 5-2 | 3. Division - Girone 3 |
| May 20, 2024 | Bærum(away) | 4-1 | 3. Division - Girone 3 |
| May 11, 2024 | Oppsal(home) | 2-2 | 3. Division - Girone 3 |
How many goals should we expect?
Åskollen score 1.5 and concede 2.9 goals per match over their last 15; Asker score 2.6 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Åskollen | 1.5 | 2.9 | 1 | 10/15 | 13/15 |
| Asker | 2.6 | 1.8 | 1 | 11/15 | 13/15 |
Over the last 15 matches in all competitions.
A question about Åskollen vs Asker?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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