Rosengård vs Hittarp: result 1-2 and analysis
Division 2 - Västra GötalandRegular Season - 3Kick-off on April 17, 2019 at 05:00 PM (UTC)Rosengårds IP (Södra), Malmö
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What was the result of Rosengård vs Hittarp?
Hittarp won 1-2 on April 17, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rosengård have 8 wins, 1 draws and 6 defeats; Hittarp have 11, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2019 | Ullared(away) | 2-3 | Division 2 - Västra Götaland |
| Apr 8, 2019 | Olympic(home) | 4-1 | Division 2 - Västra Götaland |
| Oct 21, 2018 | Prespa Birlik(home) | 4-0 | Division 2 - Västra Götaland |
| Oct 13, 2018 | Sävedalen(away) | 1-1 | Division 2 - Västra Götaland |
| Oct 8, 2018 | Kvarnby(home) | 3-4 | Division 2 - Västra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2019 | Assyriska BK(home) | 4-0 | Division 2 - Västra Götaland |
| Apr 7, 2019 | Onsala(away) | 2-1 | Division 2 - Västra Götaland |
| Oct 21, 2018 | IFK Malmö(home) | 0-0 | Division 2 - Västra Götaland |
| Oct 13, 2018 | Assyriska BK(away) | 4-2 | Division 2 - Västra Götaland |
| Oct 6, 2018 | Varbergs GIF(home) | 6-0 | Division 2 - Västra Götaland |
What does the head-to-head say?
Across the last 2 meetings: 0 Rosengård win(s), 0 draw(s), 2 Hittarp win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 18, 2018 | Rosengård 0-2 Hittarp | Division 2 - Västra Götaland |
| Apr 28, 2018 | Hittarp 3-1 Rosengård | Division 2 - Västra Götaland |
How many goals should we expect?
Rosengård score 2.1 and concede 1.5 goals per match over their last 15; Hittarp score 2.7 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rosengård | 2.1 | 1.5 | 3 | 10/15 | 11/15 |
| Hittarp | 2.7 | 0.7 | 7 | 8/15 | 12/15 |
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