Åskollen vs Odd II: result 6-4 and analysis
3. Division - Girone 4Group 4 - 10Kick-off on June 19, 2023 at 04:30 PM (UTC)Glassverket Kunstgress, Drammen
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What was the result of Åskollen vs Odd II?
Åskollen won 6-4 on June 19, 2023.
Goalscorers
- 6′?Odd II
- 27′?Odd II
- 37′151144Åskollen (pen.)
- 41′?Åskollen
- 45′?Odd II
- 65′151144Åskollen
- 84′?Odd II
- 85′151144Åskollen
- 90′Bajram AjetiÅskollen
- 90′?Åskollen
What is the recent form of both teams?
Over their last 10 matches in all competitions, Åskollen have 5 wins, 0 draws and 5 defeats; Odd II have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 12, 2023 | Fredrikstad II(away) | 1-6 | 3. Division - Girone 4 |
| Jun 5, 2023 | Start II(home) | 4-2 | 3. Division - Girone 4 |
| May 29, 2023 | Sprint-Jeløy(home) | 3-0 | 3. Division - Girone 4 |
| May 13, 2023 | Donn(away) | 1-3 | 3. Division - Girone 4 |
| May 9, 2023 | Sandefjord II(home) | 4-3 | 3. Division - Girone 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 10, 2023 | Mandalskameratene(home) | 1-2 | 3. Division - Girone 4 |
| Jun 5, 2023 | Sprint-Jeløy(away) | 2-2 | 3. Division - Girone 4 |
| May 30, 2023 | Mjøndalen II(home) | 1-1 | 3. Division - Girone 4 |
| May 13, 2023 | Randesund(away) | 5-0 | 3. Division - Girone 4 |
| May 6, 2023 | Vindbjart(home) | 0-1 | 3. Division - Girone 4 |
How many goals should we expect?
Åskollen score 2.2 and concede 2.9 goals per match over their last 10; Odd II score 1.3 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Åskollen | 2.2 | 2.9 | 2 | 7/10 | 9/10 |
| Odd II | 1.3 | 1.7 | 3 | 7/15 | 7/15 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Odd II | 16 | 4 | 4 | 8 | 26 | 39 | 16 |
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