Match

Virum-Sorgenfri vs Hillerød: result 3-3 and analysis

Denmark Series - Group 1Matchday 2Kick-off on September 7, 2016 at 04:00 PM (UTC)Virum Stadion, Virum

Virum-Sorgenfri
3-3
Hillerød

Full time

What was the result of Virum-Sorgenfri vs Hillerød?

Virum-Sorgenfri and Hillerød drew 3-3 on September 7, 2016.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Virum-Sorgenfri have 8 wins, 2 draws and 5 defeats; Hillerød have 4, 4 and 7.

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

Virum-Sorgenfri
DateOpponentScoreCompetition
Sep 2, 2016Herlev(away)1-1Denmark Series - Group 1
Aug 27, 2016Vanløse(home)1-0Denmark Series - Group 1
Aug 20, 2016Jægersborg(away)0-2Denmark Series - Group 1
Aug 7, 2016Kalundborg(away)3-1Denmark Series - Group 1
Jun 11, 2016Jægersborg(home)3-2Denmark Series - Group 1
Hillerød
DateOpponentScoreCompetition
Sep 3, 2016Taastrup(away)3-0Denmark Series - Group 1
Aug 28, 2016Kalundborg(away)2-0Denmark Series - Group 1
Aug 20, 2016Stenløse(home)1-1Denmark Series - Group 1
Aug 6, 2016KFUM Roskilde(home)1-3Denmark Series - Group 1
Jun 11, 2016Vanløse(away)0-1Denmark Series - Group 1

What does the head-to-head say?

In the last meeting: 1 Virum-Sorgenfri win, 0 draws, 0 Hillerød wins.

DateScoreCompetition
Nov 1, 2015Virum-Sorgenfri 2-0 HillerødDenmark Series - Group 1

Last archived meeting: Virum-Sorgenfri vs Hillerød on Nov 1, 2015

How many goals should we expect?

Virum-Sorgenfri score 1.4 and concede 1.4 goals per match over their last 15; Hillerød score 1.1 and concede 1.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Virum-Sorgenfri1.41.457/156/15
Hillerød1.11.448/157/15

Over the last 15 matches in all competitions.

A question about Virum-Sorgenfri 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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