Match

Næsby vs Vejgaard B: result 4-1 and analysis

3. DivisionRegular Season - 2Kick-off on August 9, 2025 at 12:00 PM (UTC)ALPI Arena Næsby, Odense

Næsby
4-1
Vejgaard B

Full time

What was the result of Næsby vs Vejgaard B?

Næsby won 4-1 on August 9, 2025.

Goalscorers

  • 22′R. LarsenNæsby
  • 27′O. KoertzNæsby
  • 42′O. KoertzNæsby
  • 63′R. LarsenNæsby
  • 90′J. LethVejgaard B

What is the recent form of both teams?

Over their last 15 matches in all competitions, Næsby have 5 wins, 4 draws and 6 defeats; Vejgaard B have 10, 2 and 3.

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

Næsby
DateOpponentScoreCompetition
Aug 2, 2025Odder(away)3-23. Division
Jun 14, 2025Brabrand(away)2-33. Division
Jun 6, 2025VSK Århus(home)2-33. Division
May 31, 2025Odder(home)6-13. Division
May 24, 2025Holbæk B&I(away)2-23. Division
Vejgaard B
DateOpponentScoreCompetition
Aug 5, 2025Snejbjerg(away)6-0DBU Pokalen
Aug 2, 2025Brønshøj(home)3-03. Division
Jun 14, 2025Esbjerg II(home)3-1Denmark Series - Promotion Round
Jun 7, 2025SfB-Oure(home)4-5Denmark Series - Promotion Round
May 31, 2025OKS(home)9-0Denmark Series - Promotion Round

What does the head-to-head say?

Across the last 4 meetings: 2 Næsby wins, 1 draw, 1 Vejgaard B win.

DateScoreCompetition
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: Vejgaard B vs Næsby on Mar 16, 2024

How many goals should we expect?

Næsby score 2.1 and concede 2.0 goals per match over their last 15; Vejgaard B score 3.0 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Næsby2.12.0211/1513/15
Vejgaard B3.01.178/1512/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
5Næsby10523201417

A question about Næsby vs Vejgaard B?

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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