Match

Norrtälje vs Franke: result 1-1 and analysis

Division 2 - Norra SvealandRegular Season - 17Kick-off on August 13, 2016 at 02:00 PM (UTC)Norrtälje Sportcentrum, Norrtälje

Norrtälje
1-1
Franke

Full time

What was the result of Norrtälje vs Franke?

Norrtälje and Franke drew 1-1 on August 13, 2016.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Norrtälje have 8 wins, 5 draws and 2 defeats; Franke have 4, 2 and 9.

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

Norrtälje
DateOpponentScoreCompetition
Aug 7, 2016Syrianska IF(away)3-7Division 2 - Norra Svealand
Jul 31, 2016Västerås IK(home)5-0Division 2 - Norra Svealand
Jun 29, 2016Gamla Upsala(away)1-1Division 2 - Norra Svealand
Jun 21, 2016Boo(home)4-2Division 2 - Norra Svealand
Jun 18, 2016Sundbyberg(away)1-1Division 2 - Norra Svealand
Franke
DateOpponentScoreCompetition
Aug 6, 2016Gamla Upsala(home)1-2Division 2 - Norra Svealand
Jul 30, 2016Boo(home)2-0Division 2 - Norra Svealand
Jul 23, 2016Västerås IK(away)2-4Division 2 - Norra Svealand
Jun 23, 2016Sundbyberg(home)5-2Division 2 - Norra Svealand
Jun 18, 2016Skiljebo(away)1-2Division 2 - Norra Svealand

What does the head-to-head say?

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

DateScoreCompetition
Apr 30, 2016Franke 1-4 NorrtäljeDivision 2 - Norra Svealand

Last archived meeting: Franke vs Norrtälje on Apr 30, 2016

How many goals should we expect?

Norrtälje score 2.3 and concede 1.6 goals per match over their last 15; Franke score 1.6 and concede 2.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Norrtälje2.31.6410/1510/15
Franke1.62.5310/1512/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
7Franke2510411454334

A question about Norrtälje 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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