Match

Anundsjö vs Friska Viljor: result 1-4 and analysis

Division 2 - NorrlandRegular Season - 23Kick-off on September 21, 2019 at 12:00 PM (UTC)Olympia IP, Bredbyn

Anundsjö
1-4
Friska Viljor

Full time

What was the result of Anundsjö vs Friska Viljor?

Friska Viljor won 1-4 on September 21, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Anundsjö have 2 wins, 1 draw and 12 defeats; Friska Viljor have 8, 4 and 3.

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

Anundsjö
DateOpponentScoreCompetition
Sep 14, 2019IFK Luleå(away)0-4Division 2 - Norrland
Sep 7, 2019Skellefteå(away)0-4Division 2 - Norrland
Aug 31, 2019IFK Timrå(home)1-3Division 2 - Norrland
Aug 25, 2019Umeå FC Akademi(away)1-3Division 2 - Norrland
Aug 17, 2019Piteå(home)1-1Division 2 - Norrland
Friska Viljor
DateOpponentScoreCompetition
Sep 14, 2019Ytterhogdal(home)4-5Division 2 - Norrland
Sep 7, 2019Gottne(home)1-0Division 2 - Norrland
Aug 31, 2019Sandviks(away)0-0Division 2 - Norrland
Aug 24, 2019Täfteå(home)5-2Division 2 - Norrland
Aug 17, 2019IFK Östersund(away)2-2Division 2 - Norrland

What does the head-to-head say?

Across the last 3 meetings: 1 Anundsjö win, 0 draws, 2 Friska Viljor wins.

DateScoreCompetition
May 30, 2019Friska Viljor 3-1 AnundsjöDivision 2 - Norrland
Oct 8, 2016Friska Viljor 3-4 AnundsjöDivision 2 - Norrland
Jun 17, 2016Anundsjö 1-3 Friska ViljorDivision 2 - Norrland

Last archived meeting: Friska Viljor vs Anundsjö on May 30, 2019

How many goals should we expect?

Anundsjö score 0.7 and concede 2.9 goals per match over their last 15; Friska Viljor score 2.4 and concede 1.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Anundsjö0.72.927/1512/15
Friska Viljor2.41.459/159/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
5Friska Viljor12264232112

A question about Anundsjö vs Friska Viljor?

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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