Skånland vs Mjølner: result 0-2 and analysis
3. Division - Girone 6Group 6 - 15Kick-off on August 12, 2023 at 01:00 PM (UTC)Skånland kunstgress, Evenskjer
Full time
What was the result of Skånland vs Mjølner?
Mjølner won 0-2 on August 12, 2023.
Goalscorers
- 37′?Mjølner
- 54′Ņ. KaļiņinsMjølner (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skånland have 4 wins, 1 draws and 10 defeats; Mjølner have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 5, 2023 | Skeid II(away) | 0-4 | 3. Division - Girone 6 |
| Jul 30, 2023 | Skeid II(home) | 2-0 | 3. Division - Girone 6 |
| Jul 22, 2023 | Skjervøy(away) | 1-2 | 3. Division - Girone 6 |
| Jun 25, 2023 | Oppsal(home) | 0-1 | 3. Division - Girone 6 |
| Jun 18, 2023 | Follo(away) | 0-6 | 3. Division - Girone 6 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 5, 2023 | Fløya(home) | 0-0 | 3. Division - Girone 6 |
| Jul 29, 2023 | Sarpsborg 08 II(away) | 3-0 | 3. Division - Girone 6 |
| Jul 23, 2023 | Oppsal(away) | 1-1 | 3. Division - Girone 6 |
| Jun 25, 2023 | Asker(home) | 1-2 | 3. Division - Girone 6 |
| Jun 17, 2023 | Fløya(away) | 3-3 | 3. Division - Girone 6 |
What does the head-to-head say?
Across the last 2 meetings: 0 Skånland win(s), 0 draw(s), 2 Mjølner win(s).
| Date | Score | Competition |
|---|---|---|
| May 29, 2023 | Mjølner 3-2 Skånland | 3. Division - Girone 6 |
| Sep 19, 2021 | Skånland 1-4 Mjølner | 3. Division - Girone 6 |
How many goals should we expect?
Skånland score 1.1 and concede 2.1 goals per match over their last 15; Mjølner score 1.7 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skånland | 1.1 | 2.1 | 3 | 5/15 | 9/15 |
| Mjølner | 1.7 | 2.4 | 3 | 9/15 | 11/15 |
Over the last 15 matches in all competitions.
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