Match

Husqvarna vs Sävedalen: result 1-0 and analysis

Division 2 - Västra GötalandVästra Götaland - 6Kick-off on May 6, 2023 at 11:00 AM (UTC)Vapenvallen, Huskvarna

Husqvarna
1-0
Sävedalen

Full time

What was the result of Husqvarna vs Sävedalen?

Husqvarna won 1-0 on May 6, 2023.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Husqvarna have 6 wins, 2 draws and 7 defeats; Sävedalen have 6, 2 and 7.

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

Husqvarna
DateOpponentScoreCompetition
Apr 28, 2023Nässjö(away)1-2Division 2 - Västra Götaland
Apr 23, 2023Lindome(home)2-3Division 2 - Västra Götaland
Apr 16, 2023Västra Frölunda(away)1-2Division 2 - Västra Götaland
Apr 7, 2023Qviding FIF(home)3-0Division 2 - Västra Götaland
Apr 2, 2023Astrio(away)1-2Division 2 - Västra Götaland
Sävedalen
DateOpponentScoreCompetition
Apr 28, 2023Landvetter IS(home)1-2Division 2 - Västra Götaland
Apr 23, 2023Nässjö(home)1-0Division 2 - Västra Götaland
Apr 15, 2023Lindome(away)0-2Division 2 - Västra Götaland
Apr 7, 2023Västra Frölunda(home)0-1Division 2 - Västra Götaland
Apr 1, 2023Qviding FIF(away)0-4Division 2 - Västra Götaland

What does the head-to-head say?

Across the last 4 meetings: 3 Husqvarna win(s), 1 draw(s), 0 Sävedalen win(s).

DateScoreCompetition
Aug 14, 2022Husqvarna 1-1 SävedalenDivision 2 - Västra Götaland
Apr 23, 2022Sävedalen 0-2 HusqvarnaDivision 2 - Västra Götaland
Nov 21, 2021Husqvarna 6-1 SävedalenDivision 2 - Västra Götaland
Sep 11, 2021Sävedalen 0-1 HusqvarnaDivision 2 - Västra Götaland

Last archived meeting: Husqvarna vs Sävedalen on Aug 14, 2022

How many goals should we expect?

Husqvarna score 1.6 and concede 1.4 goals per match over their last 15; Sävedalen score 1.6 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Husqvarna1.61.458/1510/15
Sävedalen1.61.756/158/15

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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