Åskollen vs Sarpsborg 08 II: result 2-4 and analysis
3. Division - Girone 3Group 3 - 2Kick-off on April 14, 2024 at 01:00 PM (UTC)Glassverket Kunstgress, Drammen
Full time
What was the result of Åskollen vs Sarpsborg 08 II?
Sarpsborg 08 II won 2-4 on April 14, 2024.
Goalscorers
- 2′?Åskollen
- 9′?Åskollen
- 11′?Sarpsborg 08 II
- 44′?Sarpsborg 08 II
- 48′?Sarpsborg 08 II
- 90′?Sarpsborg 08 II
What is the recent form of both teams?
Over their last 15 matches in all competitions, Åskollen have 4 wins, 1 draw and 10 defeats; Sarpsborg 08 II have 6, 1 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 10, 2024 | ODD Ballklubb(home) | 1-3 | NM Cupen |
| Apr 6, 2024 | Oppsal(away) | 2-3 | 3. Division - Girone 3 |
| Mar 28, 2024 | Ørn Horten(away) | 0-4 | Friendlies Clubs |
| Mar 9, 2024 | Notodden(away) | 0-4 | Friendlies Clubs |
| Oct 29, 2023 | Pors Grenland(away) | 3-3 | 3. Division - Girone 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 8, 2024 | Flint(home) | 0-0 | 3. Division - Girone 3 |
| Oct 29, 2023 | KFUM II(away) | 0-5 | 3. Division - Girone 6 |
| Oct 22, 2023 | Nordstrand(home) | 1-3 | 3. Division - Girone 6 |
| Oct 14, 2023 | Oppsal(home) | 3-1 | 3. Division - Girone 6 |
| Oct 8, 2023 | Skjervøy(away) | 0-2 | 3. Division - Girone 6 |
How many goals should we expect?
Åskollen score 1.6 and concede 3.2 goals per match over their last 15; Sarpsborg 08 II score 1.3 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Åskollen | 1.6 | 3.2 | 1 | 11/15 | 14/15 |
| Sarpsborg 08 II | 1.3 | 1.9 | 3 | 7/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Åskollen vs Sarpsborg 08 II?
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