Match

Viby vs AaB II: result 0-1 and analysis

Denmark Series - Group 3Regular Season - 17Kick-off on April 18, 2015 at 11:00 AM (UTC)Viby Idrætspark, Viby J

Viby
0-1
AaB II

Full time

What was the result of Viby vs AaB II?

AaB II won 0-1 on April 18, 2015.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Viby have 5 wins, 4 draws and 6 defeats; AaB II have 7, 4 and 4.

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

Viby
DateOpponentScoreCompetition
Apr 11, 2015Lystrup(away)2-0Denmark Series - Group 3
Apr 6, 2015VRI(away)1-1Denmark Series - Group 3
Mar 28, 2015Djursland(away)1-1Denmark Series - Group 3
Nov 8, 2014Hjørring IF(away)1-1Denmark Series - Group 3
Nov 1, 2014Lyseng(away)1-1Denmark Series - Group 3
AaB II
DateOpponentScoreCompetition
Apr 10, 2015Aarhus Fremad(home)0-4Denmark Series - Group 3
Apr 6, 2015Hobro II(away)1-1Denmark Series - Group 3
Mar 28, 2015Holstebro(home)2-2Denmark Series - Group 3
Nov 8, 2014Vorup(away)3-0Denmark Series - Group 3
Nov 1, 2014Brabrand II(away)2-2Denmark Series - Group 3

What does the head-to-head say?

Across the last 5 meetings: 3 Viby wins, 0 draws, 2 AaB II wins.

DateScoreCompetition
Sep 6, 2014AaB II 0-2 VibyDenmark Series - Group 3
May 17, 2014Viby 2-1 AaB IIDenmark Series - Group 3
Oct 5, 2013AaB II 1-3 VibyDenmark Series - Group 3
May 8, 2013Viby 0-1 AaB IIDenmark Series - Group 3
Aug 11, 2012AaB II 1-0 VibyDenmark Series - Group 3

Last archived meeting: AaB II vs Viby on Sep 6, 2014

How many goals should we expect?

Viby score 1.3 and concede 1.6 goals per match over their last 15; AaB II score 2.1 and concede 1.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Viby1.31.639/156/15
AaB II2.11.929/1510/15

Over the last 15 matches in all competitions.

A question about Viby vs AaB 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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