Match

Skive vs Vendsyssel FF: result 3-1 and analysis

1. DivisionRegular Season - 30Kick-off on May 8, 2013 at 05:00 PM (UTC)Spar Nord Arena, Skive

Skive
3-1
Vendsyssel FF

Full time

What was the result of Skive vs Vendsyssel FF?

Skive won 3-1 on May 8, 2013.

Goalscorers

  • 10′Anders HostrupSkive
  • 26′Michael ByskovVendsyssel FF
  • 55′Anders HostrupSkive
  • 66′Mikkel Buur SimonsenSkive

What is the recent form of both teams?

Over their last 15 matches in all competitions, Skive have 4 wins, 4 draws and 7 defeats; Vendsyssel FF have 6, 6 and 3.

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

Skive
DateOpponentScoreCompetition
May 4, 2013AB Copenhagen(away)3-01. Division
Apr 28, 2013Lyngby(home)0-11. Division
Apr 24, 2013Fyn(away)3-01. Division
Apr 20, 2013HB Koge(home)0-11. Division
Apr 14, 2013FC Fredericia(away)2-31. Division
Vendsyssel FF
DateOpponentScoreCompetition
May 5, 2013HB Koge(home)4-01. Division
Apr 28, 2013Viborg(home)1-11. Division
Apr 24, 2013AB Copenhagen(home)1-11. Division
Apr 21, 2013Lyngby(away)1-21. Division
Apr 17, 2013HB Koge(away)2-11. Division

What does the head-to-head say?

Across the last 4 meetings: 2 Skive wins, 1 draw, 1 Vendsyssel FF win.

DateScoreCompetition
Nov 11, 2012Vendsyssel FF 2-2 Skive1. Division
Aug 19, 2012Skive 2-0 Vendsyssel FF1. Division
May 13, 2012Vendsyssel FF 0-1 Skive1. Division
Oct 2, 2011Skive 1-3 Vendsyssel FF1. Division

Last archived meeting: Vendsyssel FF vs Skive on Nov 11, 2012

How many goals should we expect?

Skive score 1.5 and concede 1.5 goals per match over their last 15; Vendsyssel FF score 1.5 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Skive1.51.546/159/15
Vendsyssel FF1.51.077/157/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
9Vendsyssel FF10244101610

A question about Skive vs Vendsyssel FF?

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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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