Match

Vejgaard B vs Djursland: result 3-1 and analysis

Denmark Series - Group 4Group 4 - 21Kick-off on April 24, 2021 at 11:00 AM (UTC)Spar Nord Arena, Aalborg

Vejgaard B
3-1
Djursland

Full time

What was the result of Vejgaard B vs Djursland?

Vejgaard B won 3-1 on April 24, 2021.

What is the recent form of both teams?

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

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

Vejgaard B
DateOpponentScoreCompetition
Apr 21, 2021Skjold Sæby(home)1-1Denmark Series - Group 4
Apr 17, 2021Herning Fremad(home)4-1Denmark Series - Group 4
Apr 10, 2021Silkeborg KFUM(home)1-1Denmark Series - Group 4
Apr 5, 2021VRI(home)1-1Denmark Series - Group 4
Apr 1, 2021Tjørring(away)1-0Denmark Series - Group 4
Djursland
DateOpponentScoreCompetition
Apr 21, 2021Kjellerup(away)3-2Denmark Series - Group 4
Apr 17, 2021Nørresundby(away)1-2Denmark Series - Group 4
Apr 10, 2021Herning Fremad(home)0-0Denmark Series - Group 4
Apr 5, 2021Skjold Sæby(away)0-2Denmark Series - Group 4
Apr 1, 2021Aarhus Fremad II(home)2-2Denmark Series - Group 4

What does the head-to-head say?

In the last meeting: 0 Vejgaard B wins, 1 draw, 0 Djursland wins.

DateScoreCompetition
Oct 17, 2020Djursland 2-2 Vejgaard BDenmark Series - Group 4

Last archived meeting: Djursland vs Vejgaard B on Oct 17, 2020

How many goals should we expect?

Vejgaard B score 2.0 and concede 1.0 goals per match over their last 15; Djursland score 1.3 and concede 2.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Vejgaard B2.01.0410/157/15
Djursland1.32.3110/1512/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2024-25 standings
#ClubPWDLGFGAPts
1Vejgaard B181422511944

A question about Vejgaard B vs Djursland?

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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