Match

Torslanda vs Sävedalen: result 1-4 and analysis

Division 2 - Norra GötalandRegular Season - 7Kick-off on May 17, 2019 at 05:00 PM (UTC)Torslandavallen, Torslanda

Torslanda
1-4
Sävedalen

Full time

What was the result of Torslanda vs Sävedalen?

Sävedalen won 1-4 on May 17, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Torslanda have 3 wins, 2 draws and 10 defeats; Sävedalen have 8, 3 and 4.

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

Torslanda
DateOpponentScoreCompetition
May 11, 2019IFK Tidaholm(away)0-1Division 2 - Norra Götaland
May 4, 2019Uddevalla(home)1-3Division 2 - Norra Götaland
Apr 27, 2019Grebbestad(home)1-3Division 2 - Norra Götaland
Apr 20, 2019Örebro Syrianska(away)2-7Division 2 - Norra Götaland
Apr 13, 2019Gauthiod(home)0-4Division 2 - Norra Götaland
Sävedalen
DateOpponentScoreCompetition
May 11, 2019Grebbestad(home)2-3Division 2 - Norra Götaland
May 4, 2019Örebro Syrianska(away)1-1Division 2 - Norra Götaland
Apr 27, 2019Gauthiod(home)1-1Division 2 - Norra Götaland
Apr 19, 2019Vänersborgs IF(away)1-0Division 2 - Norra Götaland
Apr 13, 2019Vårgårda(home)3-1Division 2 - Norra Götaland

What does the head-to-head say?

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

DateScoreCompetition
Jun 28, 2017Torslanda 1-2 SävedalenDivision 2 - Västra Götaland
Apr 14, 2017Sävedalen 3-1 TorslandaDivision 2 - Västra Götaland
Aug 12, 2016Torslanda 2-3 SävedalenDivision 2 - Västra Götaland
Apr 29, 2016Sävedalen 1-1 TorslandaDivision 2 - Västra Götaland

Last archived meeting: Torslanda vs Sävedalen on Jun 28, 2017

How many goals should we expect?

Torslanda score 1.3 and concede 2.5 goals per match over their last 15; Sävedalen score 2.6 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Torslanda1.32.5111/1511/15
Sävedalen2.61.5312/1510/15

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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