Match

Qviding FIF vs Åstorp: result 5-2 and analysis

Division 2 - Västra GötalandVästra Götaland - 11Kick-off on June 7, 2025 at 02:00 PM (UTC)Valhalla IP, Göteborg

Qviding FIF
5-2
Åstorp

Full time

What was the result of Qviding FIF vs Åstorp?

Qviding FIF won 5-2 on June 7, 2025.

Goalscorers

  • 26′570853Qviding FIF
  • 37′570853Qviding FIF
  • 41′570954Åstorp
  • 44′570853Qviding FIF
  • 45′570853Qviding FIF
  • 51′570928Qviding FIF
  • 81′570955Åstorp

What is the recent form of both teams?

Over their last 15 matches in all competitions, Qviding FIF have 9 wins, 1 draw and 5 defeats; Åstorp have 6, 2 and 5.

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

Qviding FIF
DateOpponentScoreCompetition
May 29, 2025Jonsered(away)1-1Division 2 - Västra Götaland
May 24, 2025Bergdalens(away)2-3Division 2 - Västra Götaland
May 18, 2025Lindome(home)5-3Division 2 - Västra Götaland
May 11, 2025Laholm(away)0-3Division 2 - Västra Götaland
May 2, 2025Tvååker(away)1-0Division 2 - Västra Götaland
Åstorp
DateOpponentScoreCompetition
May 29, 2025Astrio(home)1-1Division 2 - Västra Götaland
May 25, 2025Landvetter IS(away)1-3Division 2 - Västra Götaland
May 18, 2025Laholm(home)2-0Division 2 - Västra Götaland
May 9, 2025Böljan(away)0-1Division 2 - Västra Götaland
May 3, 2025Jonsered(home)1-0Division 2 - Västra Götaland

How many goals should we expect?

Qviding FIF score 2.4 and concede 1.7 goals per match over their last 15; Åstorp score 1.3 and concede 1.2.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Qviding FIF2.41.749/1511/15
Åstorp1.31.246/134/13

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

Qviding FIF sit 8th in Division 2 - Västra Götaland (37 points from 25 matches) and Åstorp sit 12th (26 points from 25 matches).

2026 standings
#ClubPWDLGFGAPts
8Qviding FIF2511410464537
12Åstorp257513304326

A question about Qviding FIF vs Åstorp?

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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