Match

Viby vs AaB II: result 7-2 and analysis

Denmark Series - Group 4Regular Season - 18Kick-off on April 13, 2019 at 11:00 AM (UTC)Viby Idrætspark, Viby J

Viby
7-2
AaB II

Full time

What was the result of Viby vs AaB II?

Viby won 7-2 on April 13, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Viby have 9 wins, 1 draws and 5 defeats; AaB II have 5, 3 and 7.

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

Viby
DateOpponentScoreCompetition
Apr 6, 2019Lystrup(away)5-1Denmark Series - Group 4
Mar 30, 2019Vatanspor(away)6-2Denmark Series - Group 4
Mar 23, 2019Lyseng(away)0-3Denmark Series - Group 4
Nov 3, 2018Djursland(away)5-1Denmark Series - Group 4
Oct 27, 2018VSK Århus(home)2-3Denmark Series - Group 4
AaB II
DateOpponentScoreCompetition
Apr 7, 2019Vatanspor(home)3-2Denmark Series - Group 4
Mar 30, 2019Djursland(away)2-2Denmark Series - Group 4
Mar 23, 2019Nørresundby(home)1-3Denmark Series - Group 4
Nov 4, 2018Aarhus Fremad II(away)2-3Denmark Series - Group 4
Oct 27, 2018Lystrup(home)3-1Denmark Series - Group 4

What does the head-to-head say?

Across the last 6 meetings: 1 Viby win(s), 3 draw(s), 2 AaB II win(s).

DateScoreCompetition
Sep 30, 2018AaB II 2-3 VibyDenmark Series - Group 4
May 25, 2018Viby 1-1 AaB IIDenmark Series - Group 4
Mar 24, 2018AaB II 4-2 VibyDenmark Series - Group 4
Sep 9, 2017Viby 3-3 AaB IIDenmark Series - Group 4
May 14, 2016Viby 1-2 AaB IIDenmark Series - Group 3
Sep 26, 2015AaB II 2-2 VibyDenmark Series - Group 3

Last archived meeting: AaB II vs Viby on Sep 30, 2018

How many goals should we expect?

Viby score 2.7 and concede 2.0 goals per match over their last 15; AaB II score 1.7 and concede 2.2.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Viby2.72.0012/1513/15
AaB II1.72.2013/1512/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
7Viby18549294219

How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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