Match

Víkingur II vs B36 II: result 1-1 and analysis

1. DeildRegular Season - 4Kick-off on April 1, 2015 at 05:00 PM (UTC)Sarpugerði, Norðragøta, Eysturoy

Víkingur II
1-1
B36 II

Full time

What was the result of Víkingur II vs B36 II?

Víkingur II and B36 II drew 1-1 on April 1, 2015.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Víkingur II have 5 wins, 3 draws and 7 defeats; B36 II have 3, 3 and 9.

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

Víkingur II
DateOpponentScoreCompetition
Mar 21, 2015B71(home)1-11. Deild
Mar 14, 2015MB(away)3-01. Deild
Mar 7, 2015Skála(away)1-31. Deild
Oct 4, 2014B36 II(home)2-01. Deild
Sep 28, 2014HB II(away)2-31. Deild
B36 II
DateOpponentScoreCompetition
Mar 21, 2015Skála(home)0-41. Deild
Mar 14, 2015B68(home)0-01. Deild
Mar 8, 201507 Vestur(away)1-61. Deild
Oct 4, 2014Víkingur II(away)0-21. Deild
Sep 27, 2014Suduroy(home)1-51. Deild

What does the head-to-head say?

Across the last 6 meetings: 1 Víkingur II win, 3 draws, 2 B36 II wins.

DateScoreCompetition
Oct 4, 2014Víkingur II 2-0 B36 II1. Deild
Jun 14, 2014B36 II 3-3 Víkingur II1. Deild
May 3, 2014Víkingur II 0-1 B36 II1. Deild
Sep 21, 2013Víkingur II 1-1 B36 II1. Deild
Jun 22, 2013B36 II 5-1 Víkingur II1. Deild
Apr 27, 2013Víkingur II 1-1 B36 II1. Deild

Last archived meeting: Víkingur II vs B36 II on Oct 4, 2014

How many goals should we expect?

Víkingur II score 1.3 and concede 1.8 goals per match over their last 15; B36 II score 1.4 and concede 2.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Víkingur II1.31.8310/1510/15
B36 II1.42.548/1510/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

Víkingur II sit 2nd in 1. Deild (57 points from 25 matches) and B36 II sit 6th (32 points from 25 matches).

2026 standings
#ClubPWDLGFGAPts
2Víkingur II251834694257
6B36 II2510213536332

A question about Víkingur II vs B36 II?

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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