Match

Hittarp vs Vinberg: result 0-3 and analysis

Division 2 - Västra GötalandRegular Season - 22Kick-off on September 14, 2019 at 10:00 AM (UTC)Laröds IP, Helsingborg

Hittarp
0-3
Vinberg

Full time

What was the result of Hittarp vs Vinberg?

Vinberg won 0-3 on September 14, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Hittarp have 2 wins, 5 draws and 8 defeats; Vinberg have 5, 2 and 8.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Hittarp
DateOpponentScoreCompetition
Sep 7, 2019Halmia(home)2-1Division 2 - Västra Götaland
Aug 30, 2019Eslov(away)2-4Division 2 - Västra Götaland
Aug 23, 2019Stafsinge(home)4-4Division 2 - Västra Götaland
Aug 17, 2019Olympic(away)2-3Division 2 - Västra Götaland
Aug 10, 2019Ullared(away)1-4Division 2 - Västra Götaland
Vinberg
DateOpponentScoreCompetition
Sep 7, 2019Rosengård(away)1-1Division 2 - Västra Götaland
Aug 31, 2019Assyriska BK(home)5-0Division 2 - Västra Götaland
Aug 24, 2019Onsala(away)2-1Division 2 - Västra Götaland
Aug 17, 2019Prespa Birlik(home)1-1Division 2 - Västra Götaland
Aug 10, 2019IFK Malmö(away)9-0Division 2 - Västra Götaland

What does the head-to-head say?

Across the last 5 meetings: 3 Hittarp win(s), 1 draw(s), 1 Vinberg win(s).

DateScoreCompetition
Jun 1, 2019Vinberg 3-0 HittarpDivision 2 - Västra Götaland
Aug 11, 2018Hittarp 3-0 VinbergDivision 2 - Västra Götaland
Apr 21, 2018Vinberg 0-0 HittarpDivision 2 - Västra Götaland
Jul 29, 2017Hittarp 3-1 VinbergDivision 2 - Västra Götaland
Apr 8, 2017Vinberg 1-3 HittarpDivision 2 - Västra Götaland

Last archived meeting: Vinberg vs Hittarp on Jun 1, 2019

How many goals should we expect?

Hittarp score 1.6 and concede 2.3 goals per match over their last 15; Vinberg score 1.8 and concede 1.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Hittarp1.62.3112/1511/15
Vinberg1.81.647/159/15

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

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