Match

Kvarnsveden vs Franke: result 3-1 and analysis

Division 2 - Norra SvealandRegular Season - 23Kick-off on September 24, 2016 at 01:00 PM (UTC)Ljungbergsplanen, Borlänge

Kvarnsveden
3-1
Franke

Full time

What was the result of Kvarnsveden vs Franke?

Kvarnsveden won 3-1 on September 24, 2016.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Kvarnsveden have 4 wins, 3 draws and 8 defeats; Franke have 5, 3 and 7.

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

Kvarnsveden
DateOpponentScoreCompetition
Sep 17, 2016Karlberg(away)0-6Division 2 - Norra Svealand
Sep 10, 2016Norrtälje(away)0-4Division 2 - Norra Svealand
Sep 3, 2016Gamla Upsala(home)2-0Division 2 - Norra Svealand
Aug 27, 2016Västerås IK(away)0-3Division 2 - Norra Svealand
Aug 20, 2016Boo(home)1-3Division 2 - Norra Svealand
Franke
DateOpponentScoreCompetition
Sep 17, 2016Håbo(home)2-2Division 2 - Norra Svealand
Sep 10, 2016Gute(home)0-1Division 2 - Norra Svealand
Sep 3, 2016Sollentuna(away)2-2Division 2 - Norra Svealand
Aug 27, 2016Karlberg(home)2-3Division 2 - Norra Svealand
Aug 22, 2016Syrianska IF(away)2-0Division 2 - Norra Svealand

What does the head-to-head say?

In the last meeting: 0 Kvarnsveden wins, 0 draws, 1 Franke win.

DateScoreCompetition
May 28, 2016Franke 4-1 KvarnsvedenDivision 2 - Norra Svealand

Last archived meeting: Franke vs Kvarnsveden on May 28, 2016

How many goals should we expect?

Kvarnsveden score 1.3 and concede 1.9 goals per match over their last 15; Franke score 1.9 and concede 1.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Kvarnsveden1.31.956/1510/15
Franke1.91.9311/1510/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
7Franke2611411474337

A question about Kvarnsveden vs Franke?

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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