Match

Viby vs Vejgaard B: result 0-2 and analysis

Denmark Series - Group 4Regular Season - 16Kick-off on March 31, 2018 at 11:00 AM (UTC)Viby Idrætspark, Viby J

Viby
0-2
Vejgaard B

Full time

What was the result of Viby vs Vejgaard B?

Vejgaard B won 0-2 on March 31, 2018.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Viby have 7 wins, 2 draws and 6 defeats; Vejgaard B have 8, 4 and 3.

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

Viby
DateOpponentScoreCompetition
Mar 24, 2018AaB II(away)2-4Denmark Series - Group 4
Nov 4, 2017Lystrup(home)7-3Denmark Series - Group 4
Oct 28, 2017Randers Freja(away)3-1Denmark Series - Group 4
Oct 21, 2017Skanderborg(away)1-2Denmark Series - Group 4
Oct 14, 2017Viborg II(away)1-3Denmark Series - Group 4
Vejgaard B
DateOpponentScoreCompetition
Mar 24, 2018Hedensted(home)1-1Denmark Series - Group 4
Nov 5, 2017Vatanspor(away)1-0Denmark Series - Group 4
Oct 29, 2017Holstebro(away)1-0Denmark Series - Group 4
Oct 21, 2017AaB II(home)0-0Denmark Series - Group 4
Oct 14, 2017Lystrup(away)1-3Denmark Series - Group 4

What does the head-to-head say?

Across the last 5 meetings: 1 Viby win(s), 2 draw(s), 2 Vejgaard B win(s).

DateScoreCompetition
Sep 16, 2017Vejgaard B 3-2 VibyDenmark Series - Group 4
May 21, 2016Viby 2-0 Vejgaard BDenmark Series - Group 3
Oct 3, 2015Vejgaard B 2-0 VibyDenmark Series - Group 3
May 31, 2014Viby 1-1 Vejgaard BDenmark Series - Group 3
Oct 19, 2013Vejgaard B 2-2 VibyDenmark Series - Group 3

Last archived meeting: Vejgaard B vs Viby on Sep 16, 2017

How many goals should we expect?

Viby score 2.9 and concede 1.9 goals per match over their last 15; Vejgaard B score 1.4 and concede 1.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Viby2.91.9213/1513/15
Vejgaard B1.41.449/158/15

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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