Match

Vejgaard B vs Næsby: result 1-2 and analysis

3. DivisionRegular Season - 19Kick-off on March 21, 2026 at 12:00 PM (UTC)Spar Nord Arena, Aalborg

Vejgaard B
1-2
Næsby

Full time

What was the result of Vejgaard B vs Næsby?

Næsby won 1-2 on March 21, 2026.

Goalscorers

  • 27′B. AxelssonVejgaard B
  • 45′R. LarsenNæsby
  • 90′L. LarsenNæsby

What is the recent form of both teams?

Over their last 15 matches in all competitions, Vejgaard B have 5 wins, 4 draws and 6 defeats; Næsby have 6, 3 and 6.

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

Vejgaard B
DateOpponentScoreCompetition
Mar 14, 2026Vanløse(away)3-23. Division
Mar 7, 2026Odder(away)3-23. Division
Mar 4, 2026Odder(home)1-23. Division
Feb 25, 2026Hobro(away)4-2Friendlies Clubs
Feb 21, 2026Skive(away)0-4Friendlies Clubs
Næsby
DateOpponentScoreCompetition
Mar 14, 2026Odder(home)5-43. Division
Mar 7, 2026Holbæk B&I(away)2-13. Division
Feb 28, 2026Marienlyst(home)2-2Friendlies Clubs
Feb 21, 2026Tarup-Paarup(away)6-0Friendlies Clubs
Feb 13, 2026Gørslev(home)8-0Friendlies Clubs

What does the head-to-head say?

Across the last 5 meetings: 1 Vejgaard B win, 1 draw, 3 Næsby wins.

DateScoreCompetition
Aug 9, 2025Næsby 4-1 Vejgaard B3. Division
Mar 16, 2024Vejgaard B 0-4 Næsby3. Division
Sep 2, 2023Næsby 1-2 Vejgaard B3. Division
Oct 26, 2019Vejgaard B 0-2 Næsby2nd Division - Group 2
Aug 17, 2019Næsby 3-3 Vejgaard B2nd Division - Group 2

Last archived meeting: Næsby vs Vejgaard B on Aug 9, 2025

How many goals should we expect?

Vejgaard B score 1.6 and concede 2.2 goals per match over their last 15; Næsby score 2.3 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Vejgaard B1.62.2210/1512/15
Næsby2.31.749/159/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
5Næsby10523201417

A question about Vejgaard B vs Næsby?

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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