Match

Vanløse vs Hillerød: result 1-2 and analysis

2. DivisionGroup 1 - 17Kick-off on March 7, 2020 at 12:00 PM (UTC)Vanløse IP, Vanløse

Vanløse
1-2
Hillerød

Full time

What was the result of Vanløse vs Hillerød?

Hillerød won 1-2 on March 7, 2020.

Goalscorers

  • 49′?Hillerød
  • 60′?Hillerød
  • 62′?Vanløse

What is the recent form of both teams?

Over their last 15 matches in all competitions, Vanløse have 8 wins, 3 draws and 4 defeats; Hillerød have 4, 2 and 9.

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

Vanløse
DateOpponentScoreCompetition
Feb 29, 2020HIK(away)1-2Friendlies Clubs
Feb 22, 2020Vejgaard B(home)1-0Friendlies Clubs
Feb 19, 2020Shirak(home)3-3Friendlies Clubs
Nov 9, 2019Skovshoved(away)1-22. Division
Nov 2, 2019HIK(home)1-02. Division
Hillerød
DateOpponentScoreCompetition
Feb 29, 2020Brønshøj(away)3-0Friendlies Clubs
Feb 22, 2020HIK(away)1-3Friendlies Clubs
Nov 9, 2019Slagelse B&I(away)1-22. Division
Nov 2, 2019B 93(home)0-22. Division
Oct 26, 2019HIK(away)1-32. Division

What does the head-to-head say?

Across the last 6 meetings: 4 Vanløse wins, 0 draws, 2 Hillerød wins.

DateScoreCompetition
Sep 6, 2019Hillerød 0-4 Vanløse2. Division
Mar 30, 2019Hillerød 1-3 Vanløse2nd Division - Group 2
Aug 11, 2018Vanløse 3-0 Hillerød2nd Division - Group 2
Jun 3, 2017Vanløse 5-2 HillerødDenmark Series - Group 1
Apr 1, 2017Hillerød 3-1 VanløseDenmark Series - Group 1
Sep 17, 2016Vanløse 1-2 HillerødDenmark Series - Group 1

Last archived meeting: Hillerød vs Vanløse on Sep 6, 2019

How many goals should we expect?

Vanløse score 1.6 and concede 1.1 goals per match over their last 15; Hillerød score 1.2 and concede 1.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Vanløse1.61.158/158/15
Hillerød1.21.929/1511/15

Over the last 15 matches in all competitions.

A question about Vanløse vs Hillerød?

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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