Mandalskameratene vs Åskollen: result 2-0 and analysis
3. Division - Girone 4Group 4 - 11Kick-off on June 24, 2023 at 01:00 PM (UTC)Idrettsparken Stadion, Mandal
Full time
What was the result of Mandalskameratene vs Åskollen?
Mandalskameratene won 2-0 on June 24, 2023.
Goalscorers
- 34′?Mandalskameratene
- 84′?Mandalskameratene
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mandalskameratene have 8 wins, 3 draws and 4 defeats; Åskollen have 6, 0 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 17, 2023 | Fredrikstad II(home) | 2-2 | 3. Division - Girone 4 |
| Jun 10, 2023 | Odd II(away) | 2-1 | 3. Division - Girone 4 |
| Jun 4, 2023 | Donn(away) | 5-0 | 3. Division - Girone 4 |
| May 27, 2023 | Randesund(home) | 1-1 | 3. Division - Girone 4 |
| May 24, 2023 | jerv(home) | 0-3 | NM Cupen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 19, 2023 | Odd II(home) | 6-4 | 3. Division - Girone 4 |
| 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 |
How many goals should we expect?
Mandalskameratene score 1.7 and concede 1.5 goals per match over their last 15; Åskollen score 2.5 and concede 3.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mandalskameratene | 1.7 | 1.5 | 6 | 7/15 | 9/15 |
| Åskollen | 2.5 | 3.0 | 2 | 8/11 | 10/11 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Mandalskameratene | 23 | 13 | 4 | 6 | 54 | 34 | 43 |
A question about Mandalskameratene 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