Match

Rosengård vs Qviding FIF: result 3-2 and analysis

Division 2 - Västra GötalandRegular Season - 7Kick-off on May 18, 2019 at 12:00 PM (UTC)Rosengårds IP (Södra), Malmö

Rosengård
3-2
Qviding FIF

Full time

What was the result of Rosengård vs Qviding FIF?

Rosengård won 3-2 on May 18, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Rosengård have 10 wins, 1 draw and 4 defeats; Qviding FIF have 5, 1 and 9.

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

Rosengård
DateOpponentScoreCompetition
May 11, 2019Halmia(away)1-0Division 2 - Västra Götaland
May 4, 2019Eslov(home)6-0Division 2 - Västra Götaland
Apr 27, 2019Stafsinge(away)3-2Division 2 - Västra Götaland
Apr 17, 2019Hittarp(home)1-2Division 2 - Västra Götaland
Apr 13, 2019Ullared(away)2-3Division 2 - Västra Götaland
Qviding FIF
DateOpponentScoreCompetition
May 9, 2019Assyriska BK(home)1-2Division 2 - Västra Götaland
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

What does the head-to-head say?

Across the last 2 meetings: 1 Rosengård win, 0 draws, 1 Qviding FIF win.

DateScoreCompetition
Oct 28, 2017Qviding FIF 0-2 RosengårdEttan - Södra
Jul 2, 2017Rosengård 0-1 Qviding FIFEttan - Södra

Last archived meeting: Qviding FIF vs Rosengård on Oct 28, 2017

How many goals should we expect?

Rosengård score 2.4 and concede 1.3 goals per match over their last 15; Qviding FIF score 1.7 and concede 2.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Rosengård2.41.3410/1511/15
Qviding FIF1.72.329/1512/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
8Qviding FIF2511410464537

A question about Rosengård vs Qviding FIF?

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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Next match: Rosengård and Qviding FIF

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