Match

Vejgaard B vs Viby: result 3-2 and analysis

Denmark Series - Group 4Regular Season - 7Kick-off on September 16, 2017 at 11:00 AM (UTC)Spar Nord Arena, Aalborg

Vejgaard B
3-2
Viby

Full time

What was the result of Vejgaard B vs Viby?

Vejgaard B won 3-2 on September 16, 2017.

What is the recent form of both teams?

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

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

Vejgaard B
DateOpponentScoreCompetition
Sep 9, 2017Hedensted(away)0-2Denmark Series - Group 4
Sep 2, 2017Vatanspor(home)2-1Denmark Series - Group 4
Aug 29, 2017Sydvest(home)4-3DBU Pokalen
Aug 26, 2017Holstebro(home)1-0Denmark Series - Group 4
Aug 18, 2017AaB II(away)2-1Denmark Series - Group 4
Viby
DateOpponentScoreCompetition
Sep 9, 2017AaB II(home)3-3Denmark Series - Group 4
Sep 2, 2017Lystrup(away)3-1Denmark Series - Group 4
Aug 26, 2017Randers Freja(home)6-0Denmark Series - Group 4
Aug 19, 2017Skanderborg(away)1-1Denmark Series - Group 4
Aug 16, 2017Viborg II(home)5-1Denmark Series - Group 4

What does the head-to-head say?

Across the last 4 meetings: 1 Vejgaard B win, 2 draws, 1 Viby win.

DateScoreCompetition
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: Viby vs Vejgaard B on May 21, 2016

How many goals should we expect?

Vejgaard B score 1.6 and concede 1.3 goals per match over their last 15; Viby score 2.1 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Vejgaard B1.61.3310/158/15
Viby2.11.3311/1511/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
7Viby18549294219

A question about Vejgaard B vs Viby?

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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