Match

Assyriska BK vs Hittarp: result 1-3 and analysis

Division 2 - Västra GötalandVästra Götaland - 12Kick-off on June 11, 2022 at 11:00 AM (UTC)Ruddalens IP 1, Västra Frölunda

Assyriska BK
1-3
Hittarp

Full time

What was the result of Assyriska BK vs Hittarp?

Hittarp won 1-3 on June 11, 2022.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Assyriska BK have 1 wins, 4 draws and 10 defeats; Hittarp have 8, 0 and 7.

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

Assyriska BK
DateOpponentScoreCompetition
Jun 4, 2022Ullared(away)0-0Division 2 - Västra Götaland
May 29, 2022Sävedalen(away)1-1Division 2 - Västra Götaland
May 25, 2022Onsala(home)0-6Division 2 - Västra Götaland
May 21, 2022Torslanda(away)1-4Division 2 - Västra Götaland
May 14, 2022Husqvarna(home)0-4Division 2 - Västra Götaland
Hittarp
DateOpponentScoreCompetition
Jun 5, 2022Onsala(home)3-0Division 2 - Västra Götaland
May 29, 2022Torslanda(away)3-2Division 2 - Västra Götaland
May 26, 2022Husqvarna(home)2-3Division 2 - Västra Götaland
May 21, 2022Landvetter IS(away)3-2Division 2 - Västra Götaland
May 15, 2022Tölö(home)3-1Division 2 - Västra Götaland

What does the head-to-head say?

Across the last 4 meetings: 0 Assyriska BK win(s), 1 draw(s), 3 Hittarp win(s).

DateScoreCompetition
Jun 29, 2019Assyriska BK 0-0 HittarpDivision 2 - Västra Götaland
Apr 13, 2019Hittarp 4-0 Assyriska BKDivision 2 - Västra Götaland
Oct 13, 2018Assyriska BK 2-4 HittarpDivision 2 - Västra Götaland
Jun 21, 2018Hittarp 5-1 Assyriska BKDivision 2 - Västra Götaland

Last archived meeting: Assyriska BK vs Hittarp on Jun 29, 2019

How many goals should we expect?

Assyriska BK score 0.6 and concede 2.3 goals per match over their last 15; Hittarp score 2.2 and concede 2.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Assyriska BK0.62.335/157/15
Hittarp2.22.3310/1514/15

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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