Start II vs Åskollen: result 1-2 and analysis
3. Division - Girone 4Group 4 - 22Kick-off on October 1, 2023 at 01:00 PM (UTC)Sparebanken Sør Arena, Kristiansand
Full time
What was the result of Start II vs Åskollen?
Åskollen won 1-2 on October 1, 2023.
Goalscorers
- 26′?Åskollen
- 43′?Åskollen
- 45′?Start II
What is the recent form of both teams?
Over their last 15 matches in all competitions, Start II have 6 wins, 4 draws and 5 defeats; Åskollen have 6, 0 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 25, 2023 | Donn(away) | 2-2 | 3. Division - Girone 4 |
| Sep 17, 2023 | Odd II(home) | 1-1 | 3. Division - Girone 4 |
| Sep 11, 2023 | Fredrikstad II(away) | 0-2 | 3. Division - Girone 4 |
| Sep 4, 2023 | Mandalskameratene(home) | 2-0 | 3. Division - Girone 4 |
| Aug 28, 2023 | Mjøndalen II(away) | 1-4 | 3. Division - Girone 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 25, 2023 | Odd II(away) | 2-5 | 3. Division - Girone 4 |
| Sep 16, 2023 | Donn(home) | 6-1 | 3. Division - Girone 4 |
| Sep 9, 2023 | Sprint-Jeløy(away) | 1-7 | 3. Division - Girone 4 |
| Sep 4, 2023 | Fredrikstad II(home) | 1-4 | 3. Division - Girone 4 |
| Aug 26, 2023 | Eik-Tønsberg(away) | 0-4 | 3. Division - Girone 4 |
What does the head-to-head say?
In the last meeting: 0 Start II wins, 0 draws, 1 Åskollen win.
| Date | Score | Competition |
|---|---|---|
| Jun 5, 2023 | Åskollen 4-2 Start II | 3. Division - Girone 4 |
How many goals should we expect?
Start II score 2.3 and concede 1.7 goals per match over their last 15; Åskollen score 2.1 and concede 3.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Start II | 2.3 | 1.7 | 5 | 7/15 | 10/15 |
| Åskollen | 2.1 | 3.0 | 1 | 12/15 | 14/15 |
Over the last 15 matches in all competitions.
A question about Start II vs Åskollen?
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