Match

Qviding FIF vs Nässjö: result 5-1 and analysis

Division 2 - Västra GötalandVästra Götaland - 24Kick-off on October 7, 2023 at 02:00 PM (UTC)Valhalla IP, Göteborg

Qviding FIF
5-1
Nässjö

Full time

What was the result of Qviding FIF vs Nässjö?

Qviding FIF won 5-1 on October 7, 2023.

What is the recent form of both teams?

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

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

Qviding FIF
DateOpponentScoreCompetition
Sep 30, 2023Astrio(away)1-2Division 2 - Västra Götaland
Sep 24, 2023Landvetter IS(home)2-3Division 2 - Västra Götaland
Sep 17, 2023Tord(home)1-1Division 2 - Västra Götaland
Sep 9, 2023Tölö(away)2-1Division 2 - Västra Götaland
Sep 3, 2023Varbergs GIF(home)3-4Division 2 - Västra Götaland
Nässjö
DateOpponentScoreCompetition
Oct 1, 2023Varbergs GIF(away)1-3Division 2 - Västra Götaland
Sep 23, 2023Tölö(home)3-2Division 2 - Västra Götaland
Sep 16, 2023Hittarp(home)0-2Division 2 - Västra Götaland
Sep 10, 2023Onsala(away)1-2Division 2 - Västra Götaland
Sep 3, 2023Laholm(home)0-3Division 2 - Västra Götaland

What does the head-to-head say?

In the last meeting: 1 Qviding FIF win, 0 draws, 0 Nässjö wins.

DateScoreCompetition
Jun 22, 2023Nässjö 1-3 Qviding FIFDivision 2 - Västra Götaland

Last archived meeting: Nässjö vs Qviding FIF on Jun 22, 2023

How many goals should we expect?

Qviding FIF score 1.7 and concede 2.2 goals per match over their last 15; Nässjö score 1.1 and concede 2.2.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Qviding FIF1.72.2013/1511/15
Nässjö1.12.2210/1511/15

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 Nässjö?

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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