Match

Skive vs Vejle: result 0-3 and analysis

1. DivisionRegular Season - 23Kick-off on March 28, 2016 at 12:45 PM (UTC)Hancock Arena, Skive

Skive
0-3
Vejle

Full time

What was the result of Skive vs Vejle?

Vejle won 0-3 on March 28, 2016.

Goalscorers

  • 44′T. MikkelsenVejle
  • 75′S. NagelVejle
  • 83′K. ElgaardVejle

What is the recent form of both teams?

Over their last 15 matches in all competitions, Skive have 5 wins, 2 draws and 8 defeats; Vejle have 8, 1 and 6.

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

Skive
DateOpponentScoreCompetition
Mar 24, 2016Naestved(away)3-11. Division
Mar 20, 2016Silkeborg(home)1-11. Division
Mar 13, 2016Lyngby(away)1-11. Division
Mar 6, 2016FC Helsingor(away)1-21. Division
Mar 2, 2016Brondby(home)0-3DBU Pokalen
Vejle
DateOpponentScoreCompetition
Mar 24, 2016Vestsjælland(away)3-01. Division
Mar 20, 2016AC Horsens(home)4-31. Division
Mar 13, 2016Naestved(home)1-21. Division
Nov 28, 2015Silkeborg(home)1-31. Division
Nov 19, 2015Lyngby(away)0-11. Division

What does the head-to-head say?

Across the last 6 meetings: 2 Skive wins, 1 draw, 3 Vejle wins.

DateScoreCompetition
Oct 18, 2015Vejle 2-3 Skive1. Division
Sep 13, 2015Vejle 3-1 Skive1. Division
May 8, 2015Skive 1-1 Vejle1. Division
Apr 2, 2015Vejle 2-1 Skive1. Division
Sep 26, 2014Vejle 1-2 Skive1. Division
Apr 7, 2013Vejle 3-1 Skive1. Division

Last archived meeting: Vejle vs Skive on Oct 18, 2015

How many goals should we expect?

Skive score 1.1 and concede 1.3 goals per match over their last 15; Vejle score 1.9 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Skive1.11.327/156/15
Vejle1.91.348/159/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
2Vejle10541231519

A question about Skive vs Vejle?

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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