Rosengård vs Olympic: result 4-2 and analysis
Division 2 - Västra GötalandRegular Season - 23Kick-off on October 1, 2018 at 05:00 PM (UTC)Rosengårds IP (Södra), Malmö
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What was the result of Rosengård vs Olympic?
Rosengård won 4-2 on October 1, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rosengård have 8 wins, 0 draws and 7 defeats; Olympic have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2018 | Vinberg(away) | 2-1 | Division 2 - Västra Götaland |
| Sep 14, 2018 | Assyriska BK(away) | 0-1 | Division 2 - Västra Götaland |
| Sep 8, 2018 | Lindome(home) | 2-1 | Division 2 - Västra Götaland |
| Aug 30, 2018 | Halmia(away) | 2-1 | Division 2 - Västra Götaland |
| Aug 25, 2018 | Högaborg(home) | 1-0 | Division 2 - Västra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2018 | Högaborg(home) | 0-1 | Division 2 - Västra Götaland |
| Sep 15, 2018 | Ullared(home) | 2-0 | Division 2 - Västra Götaland |
| Sep 8, 2018 | Varbergs GIF(away) | 4-1 | Division 2 - Västra Götaland |
| Sep 1, 2018 | IFK Malmö(home) | 0-2 | Division 2 - Västra Götaland |
| Aug 25, 2018 | Kvarnby(away) | 3-3 | Division 2 - Västra Götaland |
What does the head-to-head say?
Across the last 3 meetings: 3 Rosengård win(s), 0 draw(s), 0 Olympic win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 2, 2018 | Olympic 1-3 Rosengård | Division 2 - Västra Götaland |
| Aug 20, 2016 | Rosengård 1-0 Olympic | Division 2 - Södra Götaland |
| May 5, 2016 | Olympic 0-1 Rosengård | Division 2 - Södra Götaland |
How many goals should we expect?
Rosengård score 1.8 and concede 1.5 goals per match over their last 15; Olympic score 1.5 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rosengård | 1.8 | 1.5 | 2 | 9/15 | 10/15 |
| Olympic | 1.5 | 2.1 | 1 | 10/15 | 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