Hittarp vs Rosengård: result 1-2 and analysis
Division 2 - Västra GötalandRegular Season - 16Kick-off on August 5, 2019 at 05:00 PM (UTC)Laröds IP, Helsingborg
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What was the result of Hittarp vs Rosengård?
Rosengård won 1-2 on August 5, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Hittarp have 3 wins, 7 draws and 5 defeats; Rosengård have 9, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 6, 2019 | Onsala(home) | 2-4 | Division 2 - Västra Götaland |
| Jul 3, 2019 | Eskilsminne(home) | 0-1 | Svenska Cupen |
| Jun 29, 2019 | Assyriska BK(away) | 0-0 | Division 2 - Västra Götaland |
| Jun 20, 2019 | Prespa Birlik(home) | 1-1 | Division 2 - Västra Götaland |
| Jun 17, 2019 | IFK Malmö(away) | 1-1 | Division 2 - Västra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 6, 2019 | Olympic(away) | 0-3 | Division 2 - Västra Götaland |
| Jun 29, 2019 | Ullared(home) | 1-1 | Division 2 - Västra Götaland |
| Jun 26, 2019 | Tågarps AIK(away) | 3-1 | Svenska Cupen |
| Jun 20, 2019 | Assyriska BK(home) | 3-2 | Division 2 - Västra Götaland |
| Jun 15, 2019 | Onsala(away) | 1-2 | Division 2 - Västra Götaland |
What does the head-to-head say?
Across the last 3 meetings: 3 Hittarp win(s), 0 draw(s), 0 Rosengård win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 17, 2019 | Rosengård 1-2 Hittarp | Division 2 - Västra Götaland |
| 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?
Hittarp score 1.4 and concede 1.5 goals per match over their last 15; Rosengård score 2.2 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Hittarp | 1.4 | 1.5 | 2 | 10/15 | 7/15 |
| Rosengård | 2.2 | 1.5 | 3 | 10/15 | 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