Match

Sundbyberg vs Franke: result 0-3 and analysis

Division 2 - Norra SvealandRegular Season - 24Kick-off on October 1, 2016 at 12:00 PM (UTC)

Sundbyberg
0-3
Franke

Full time

What was the result of Sundbyberg vs Franke?

Franke won 0-3 on October 1, 2016.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Sundbyberg have 6 wins, 2 draws and 7 defeats; Franke have 5, 3 and 7.

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

Sundbyberg
DateOpponentScoreCompetition
Sep 24, 2016Boo(home)1-3Division 2 - Norra Svealand
Sep 17, 2016Västerås IK(away)4-3Division 2 - Norra Svealand
Sep 10, 2016Syrianska IF(home)2-0Division 2 - Norra Svealand
Sep 3, 2016Skiljebo(away)1-2Division 2 - Norra Svealand
Aug 27, 2016Värmdö(home)1-0Division 2 - Norra Svealand
Franke
DateOpponentScoreCompetition
Sep 24, 2016Kvarnsveden(away)1-3Division 2 - Norra Svealand
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

What does the head-to-head say?

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

DateScoreCompetition
Jun 23, 2016Franke 5-2 SundbybergDivision 2 - Norra Svealand

Last archived meeting: Franke vs Sundbyberg on Jun 23, 2016

How many goals should we expect?

Sundbyberg score 1.7 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
Sundbyberg1.71.9410/1510/15
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 Sundbyberg 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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