Match

Skive vs HB Koge: result 2-1 and analysis

1. DivisionRegular Season - 14Kick-off on October 22, 2017 at 12:30 PM (UTC)Hancock Arena, Skive

Skive
2-1
HB Koge

Full time

What was the result of Skive vs HB Koge?

Skive won 2-1 on October 22, 2017.

Goalscorers

  • 20′L. Rochester SørensenHB Koge
  • 38′Thomas DalgaardSkive
  • 87′Mathias PedersenSkive

What is the recent form of both teams?

Over their last 15 matches in all competitions, Skive have 3 wins, 4 draws and 8 defeats; HB Koge have 8, 4 and 3.

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

Skive
DateOpponentScoreCompetition
Oct 15, 2017Roskilde(home)0-21. Division
Oct 8, 2017Brabrand(away)3-01. Division
Oct 1, 2017Thisted FC(home)1-21. Division
Sep 24, 2017Fremad Amager(away)0-11. Division
Sep 20, 2017FC Copenhagen(home)0-3DBU Pokalen
HB Koge
DateOpponentScoreCompetition
Oct 15, 2017Vendsyssel FF(away)0-21. Division
Oct 11, 2017Roskilde(home)1-31. Division
Oct 1, 2017FC Fredericia(home)0-01. Division
Sep 24, 2017Esbjerg(away)1-11. Division
Sep 20, 2017Naestved(away)3-1DBU Pokalen

What does the head-to-head say?

Across the last 6 meetings: 1 Skive win, 3 draws, 2 HB Koge wins.

DateScoreCompetition
Aug 27, 2017HB Koge 0-0 Skive1. Division
Apr 23, 2017Skive 2-1 HB Koge1. Division
Oct 16, 2016HB Koge 3-0 Skive1. Division
Jul 31, 2016HB Koge 0-0 Skive1. Division
Apr 24, 2016HB Koge 1-1 Skive1. Division
Nov 25, 2015Skive 0-1 HB Koge1. Division

Last archived meeting: HB Koge vs Skive on Aug 27, 2017

How many goals should we expect?

Skive score 1.7 and concede 1.9 goals per match over their last 15; HB Koge score 1.9 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Skive1.71.939/1512/15
HB Koge1.91.067/159/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
8HB Koge10244131710

A question about Skive vs HB Koge?

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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