Match

Sävedalen vs Torslanda: result 3-1 and analysis

Division 2 - Västra GötalandRegular Season - 2Kick-off on April 14, 2017 at 11:30 AM (UTC)Vallhamra IP, Sävedalen

Sävedalen
3-1
Torslanda

Full time

What was the result of Sävedalen vs Torslanda?

Sävedalen won 3-1 on April 14, 2017.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Sävedalen have 6 wins, 4 draws and 5 defeats; Torslanda have 8, 0 and 7.

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

Sävedalen
DateOpponentScoreCompetition
Apr 8, 2017Eskilsminne(away)1-0Division 2 - Västra Götaland
Oct 16, 2016Halmia(home)1-2Division 2 - Västra Götaland
Oct 8, 2016Tenhult(away)1-3Division 2 - Västra Götaland
Sep 30, 2016Lindome(away)3-2Division 2 - Västra Götaland
Sep 24, 2016Dalstorps(home)1-1Division 2 - Västra Götaland
Torslanda
DateOpponentScoreCompetition
Apr 8, 2017Varbergs GIF(home)3-1Division 2 - Västra Götaland
Oct 16, 2016Laholm(home)2-1Division 2 - Västra Götaland
Oct 8, 2016Högaborg(away)1-0Division 2 - Västra Götaland
Oct 1, 2016Dalstorps(home)2-4Division 2 - Västra Götaland
Sep 24, 2016Höganäs(home)3-2Division 2 - Västra Götaland

What does the head-to-head say?

Across the last 2 meetings: 1 Sävedalen win, 1 draw, 0 Torslanda wins.

DateScoreCompetition
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 Aug 12, 2016

How many goals should we expect?

Sävedalen score 1.5 and concede 1.6 goals per match over their last 15; Torslanda score 2.0 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sävedalen1.51.6410/159/15
Torslanda2.01.739/1511/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
9Torslanda269710434434

A question about Sävedalen vs Torslanda?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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