Match

Qviding FIF vs Assyriska BK: result 1-2 and analysis

Division 2 - Västra GötalandRegular Season - 6Kick-off on May 9, 2019 at 05:00 PM (UTC)Valhalla IP, Göteborg

Qviding FIF
1-2
Assyriska BK

Full time

What was the result of Qviding FIF vs Assyriska BK?

Assyriska BK won 1-2 on May 9, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Qviding FIF have 5 wins, 2 draws and 8 defeats; Assyriska BK have 8, 1 and 6.

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

Qviding FIF
DateOpponentScoreCompetition
May 4, 2019Onsala(away)3-4Division 2 - Västra Götaland
May 1, 2019Vinberg(home)5-0Division 2 - Västra Götaland
Apr 18, 2019IFK Malmö(away)1-0Division 2 - Västra Götaland
Apr 13, 2019Angelholms FF(home)3-2Division 2 - Västra Götaland
Apr 6, 2019Vinberg(away)3-1Division 2 - Västra Götaland
Assyriska BK
DateOpponentScoreCompetition
May 4, 2019Halmia(home)5-2Division 2 - Västra Götaland
Apr 27, 2019Eslov(away)0-1Division 2 - Västra Götaland
Apr 18, 2019Stafsinge(home)4-1Division 2 - Västra Götaland
Apr 13, 2019Hittarp(away)0-4Division 2 - Västra Götaland
Apr 5, 2019Ullared(home)1-2Division 2 - Västra Götaland

What does the head-to-head say?

Across the last 2 meetings: 0 Qviding FIF wins, 1 draw, 1 Assyriska BK win.

DateScoreCompetition
Oct 7, 2017Qviding FIF 0-3 Assyriska BKEttan - Södra
Jun 16, 2017Assyriska BK 1-1 Qviding FIFEttan - Södra

Last archived meeting: Qviding FIF vs Assyriska BK on Oct 7, 2017

How many goals should we expect?

Qviding FIF score 1.7 and concede 2.3 goals per match over their last 15; Assyriska BK score 1.8 and concede 1.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Qviding FIF1.72.329/1511/15
Assyriska BK1.81.9111/1512/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
8Qviding FIF2511410464537

A question about Qviding FIF vs Assyriska BK?

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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