Match

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

1. DeildRegular Season - 4Kick-off on March 31, 2018 at 01:00 PM (UTC)Gundadalur, Tórshavn, Streymoy

HB II
1-2
Víkingur II

Full time

What was the result of HB II vs Víkingur II?

Víkingur II won 1-2 on March 31, 2018.

What is the recent form of both teams?

Over their last 15 matches in all competitions, HB II have 5 wins, 3 draws and 7 defeats; Víkingur II have 11, 2 and 2.

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

HB II
DateOpponentScoreCompetition
Mar 24, 2018NSÍ II(away)0-11. Deild
Mar 21, 2018Skála II(away)1-01. Deild
Mar 18, 2018KÍ II(home)1-21. Deild
Oct 21, 2017Suduroy(home)2-11. Deild
Oct 14, 2017NSÍ II(away)2-31. Deild
Víkingur II
DateOpponentScoreCompetition
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
Oct 14, 2017Suduroy(away)4-01. Deild

What does the head-to-head say?

Across the last 6 meetings: 1 HB II win, 1 draw, 4 Víkingur II wins.

DateScoreCompetition
Sep 19, 2017Víkingur II 2-0 HB II1. Deild
Jun 21, 2017HB II 1-1 Víkingur II1. Deild
May 13, 2017Víkingur II 1-0 HB II1. Deild
Aug 28, 2016Víkingur II 1-0 HB II1. Deild
Jun 18, 2016HB II 3-1 Víkingur II1. Deild
Apr 30, 2016Víkingur II 1-0 HB II1. Deild

Last archived meeting: Víkingur II vs HB II on Sep 19, 2017

How many goals should we expect?

HB II score 1.4 and concede 1.3 goals per match over their last 15; Víkingur II score 2.2 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
HB II1.41.347/156/15
Víkingur II2.20.977/157/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

HB II sit 9th in 1. Deild (25 points from 27 matches) and Víkingur II sit 2nd (63 points from 27 matches).

2026 standings
#ClubPWDLGFGAPts
2Víkingur II272034734363
9HB II276714355125

A question about HB II vs Víkingur 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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