Match

Víkingur II vs NSÍ II: result 1-2 and analysis

1. DeildRegular Season - 5Kick-off on April 7, 2018 at 01:00 PM (UTC)Sarpugerði, Norðragøta, Eysturoy

Víkingur II
1-2
NSÍ II

Full time

What was the result of Víkingur II vs NSÍ II?

NSÍ II won 1-2 on April 7, 2018.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Víkingur II have 11 wins, 2 draws and 2 defeats; NSÍ II have 7, 2 and 6.

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

Víkingur II
DateOpponentScoreCompetition
Mar 31, 2018HB II(away)2-11. Deild
Mar 24, 2018Skála II(away)2-11. Deild
Mar 18, 2018B68(home)5-11. Deild
Mar 10, 2018ÍF II(away)1-51. Deild
Oct 21, 2017Giza / Hoyvík(home)1-11. Deild
NSÍ II
DateOpponentScoreCompetition
Mar 31, 2018B71(away)4-21. Deild
Mar 24, 2018HB II(home)1-01. Deild
Mar 18, 2018Giza / Hoyvík(home)4-21. Deild
Mar 10, 2018KÍ II(home)2-21. Deild
Oct 20, 2017B36 II(away)4-21. Deild

What does the head-to-head say?

Across the last 6 meetings: 3 Víkingur II wins, 0 draws, 3 NSÍ II wins.

DateScoreCompetition
Sep 30, 2017Víkingur II 2-0 NSÍ II1. Deild
Jul 26, 2017NSÍ II 0-1 Víkingur II1. Deild
May 7, 2017NSÍ II 1-0 Víkingur II1. Deild
Aug 20, 2016NSÍ II 2-3 Víkingur II1. Deild
Jun 11, 2016Víkingur II 1-2 NSÍ II1. Deild
Mar 19, 2016Víkingur II 0-5 NSÍ II1. Deild

Last archived meeting: Víkingur II vs NSÍ II on Sep 30, 2017

How many goals should we expect?

Víkingur II score 2.3 and concede 0.9 goals per match over their last 15; NSÍ II score 2.7 and concede 2.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Víkingur II2.30.968/158/15
NSÍ II2.72.8212/1512/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

Víkingur II sit 2nd in 1. Deild (63 points from 27 matches) and NSÍ II sit 8th (26 points from 27 matches).

2026 standings
#ClubPWDLGFGAPts
2Víkingur II272034734363
8NSÍ II277515366026

A question about Víkingur II vs NSÍ 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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