Match

Assyriska BK vs Sävedalen: result 0-1 and analysis

Division 2 - Västra GötalandVästra Götaland - 27Kick-off on October 1, 2021 at 05:00 PM (UTC)Ruddalens IP 1, Västra Frölunda

Assyriska BK
0-1
Sävedalen

Full time

What was the result of Assyriska BK vs Sävedalen?

Sävedalen won 0-1 on October 1, 2021.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Assyriska BK have 6 wins, 3 draws and 6 defeats; Sävedalen have 8, 0 and 7.

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

Assyriska BK
DateOpponentScoreCompetition
Sep 25, 2021Angelholms FF(away)2-2Division 2 - Västra Götaland
Sep 17, 2021Ullared(home)3-1Division 2 - Västra Götaland
Sep 11, 2021Astrio(away)3-4Division 2 - Västra Götaland
Sep 8, 2021Onsala(away)2-1Division 2 - Västra Götaland
Sep 3, 2021Västra Frölunda(home)0-0Division 2 - Västra Götaland
Sävedalen
DateOpponentScoreCompetition
Sep 25, 2021Dalstorps(home)4-1Division 2 - Västra Götaland
Sep 18, 2021Höganäs(away)2-1Division 2 - Västra Götaland
Sep 11, 2021Husqvarna(home)0-1Division 2 - Västra Götaland
Sep 8, 2021Torslanda(away)1-0Division 2 - Västra Götaland
Sep 4, 2021Onsala(away)2-4Division 2 - Västra Götaland

What does the head-to-head say?

Across the last 4 meetings: 2 Assyriska BK win(s), 0 draw(s), 2 Sävedalen win(s).

DateScoreCompetition
Aug 11, 2018Sävedalen 5-0 Assyriska BKDivision 2 - Västra Götaland
Apr 21, 2018Assyriska BK 1-3 SävedalenDivision 2 - Västra Götaland
Aug 27, 2016Assyriska BK 2-1 SävedalenDivision 2 - Västra Götaland
May 7, 2016Sävedalen 0-2 Assyriska BKDivision 2 - Västra Götaland

Last archived meeting: Sävedalen vs Assyriska BK on Aug 11, 2018

How many goals should we expect?

Assyriska BK score 2.1 and concede 1.9 goals per match over their last 15; Sävedalen score 1.7 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Assyriska BK2.11.9212/1512/15
Sävedalen1.71.347/159/15

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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