Match

Sävedalen vs Hittarp: result 3-3 and analysis

Division 2 - Västra GötalandVästra Götaland - 15Kick-off on July 31, 2022 at 11:30 AM (UTC)Vallhamra IP, Sävedalen

Sävedalen
3-3
Hittarp

Full time

What was the result of Sävedalen vs Hittarp?

Sävedalen and Hittarp drew 3-3 on July 31, 2022.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Sävedalen have 7 wins, 3 draws and 5 defeats; Hittarp have 9, 0 and 6.

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

Sävedalen
DateOpponentScoreCompetition
Jun 22, 2022Landvetter IS(away)4-3Division 2 - Västra Götaland
Jun 17, 2022Tölö(away)5-0Division 2 - Västra Götaland
Jun 11, 2022Ullared(home)3-1Division 2 - Västra Götaland
Jun 4, 2022Västra Frölunda(away)1-2Division 2 - Västra Götaland
May 29, 2022Assyriska BK(home)1-1Division 2 - Västra Götaland
Hittarp
DateOpponentScoreCompetition
Jun 23, 2022Höganäs(home)1-3Division 2 - Västra Götaland
Jun 18, 2022Ullared(home)3-1Division 2 - Västra Götaland
Jun 11, 2022Assyriska BK(away)3-1Division 2 - Västra Götaland
Jun 5, 2022Onsala(home)3-0Division 2 - Västra Götaland
May 29, 2022Torslanda(away)3-2Division 2 - Västra Götaland

What does the head-to-head say?

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

DateScoreCompetition
Apr 3, 2022Hittarp 6-0 SävedalenDivision 2 - Västra Götaland
Sep 8, 2018Hittarp 2-1 SävedalenDivision 2 - Västra Götaland
May 19, 2018Sävedalen 1-0 HittarpDivision 2 - Västra Götaland
Sep 2, 2017Sävedalen 3-3 HittarpDivision 2 - Västra Götaland
May 20, 2017Hittarp 3-0 SävedalenDivision 2 - Västra Götaland

Last archived meeting: Hittarp vs Sävedalen on Apr 3, 2022

How many goals should we expect?

Sävedalen score 2.1 and concede 1.7 goals per match over their last 15; Hittarp score 2.6 and concede 1.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sävedalen2.11.739/159/15
Hittarp2.61.9213/1515/15

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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