Rosengård vs Prespa Birlik: result 4-0 and analysis
Division 2 - Västra GötalandRegular Season - 26Kick-off on October 21, 2018 at 12:00 PM (UTC)Rosengårds IP (Södra), Malmö
Full time
What was the result of Rosengård vs Prespa Birlik?
Rosengård won 4-0 on October 21, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rosengård have 7 wins, 1 draws and 7 defeats; Prespa Birlik have 5, 0 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 13, 2018 | Sävedalen(away) | 1-1 | Division 2 - Västra Götaland |
| Oct 8, 2018 | Kvarnby(home) | 3-4 | Division 2 - Västra Götaland |
| Oct 1, 2018 | Olympic(home) | 4-2 | Division 2 - Västra Götaland |
| Sep 22, 2018 | Vinberg(away) | 2-1 | Division 2 - Västra Götaland |
| Sep 14, 2018 | Assyriska BK(away) | 0-1 | Division 2 - Västra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 13, 2018 | Högaborg(home) | 3-2 | Division 2 - Västra Götaland |
| Oct 8, 2018 | Halmia(away) | 0-5 | Division 2 - Västra Götaland |
| Sep 30, 2018 | Varbergs GIF(away) | 0-2 | Division 2 - Västra Götaland |
| Sep 22, 2018 | Ullared(home) | 2-1 | Division 2 - Västra Götaland |
| Sep 15, 2018 | IFK Malmö(home) | 0-6 | Division 2 - Västra Götaland |
What does the head-to-head say?
Across the last 1 meetings: 0 Rosengård win(s), 0 draw(s), 1 Prespa Birlik win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 18, 2018 | Prespa Birlik 4-2 Rosengård | Division 2 - Västra Götaland |
Last archived meeting: Prespa Birlik vs Rosengård on Jun 18, 2018
How many goals should we expect?
Rosengård score 1.9 and concede 1.7 goals per match over their last 15; Prespa Birlik score 1.1 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rosengård | 1.9 | 1.7 | 2 | 10/15 | 10/15 |
| Prespa Birlik | 1.1 | 2.5 | 2 | 7/15 | 10/15 |
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