Match

Hillerød vs Jægersborg: result 2-2 and analysis

Denmark Series - Group 1Regular Season - 24Kick-off on May 27, 2017 at 01:00 PM (UTC)Right to Dream Park, Farum

Hillerød
2-2
Jægersborg

Full time

What was the result of Hillerød vs Jægersborg?

Hillerød and Jægersborg drew 2-2 on May 27, 2017.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Hillerød have 10 wins, 3 draws and 2 defeats; Jægersborg have 2, 5 and 8.

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

Hillerød
DateOpponentScoreCompetition
May 20, 2017Taastrup(away)2-0Denmark Series - Group 1
May 11, 2017Kalundborg(away)8-0Denmark Series - Group 1
May 6, 2017Stenløse(home)2-2Denmark Series - Group 1
Apr 29, 2017Virum-Sorgenfri(away)2-0Denmark Series - Group 1
Apr 22, 2017KFUM Roskilde(home)1-1Denmark Series - Group 1
Jægersborg
DateOpponentScoreCompetition
May 20, 2017Kalundborg(home)2-1Denmark Series - Group 1
May 13, 2017Stenløse(away)0-2Denmark Series - Group 1
May 6, 2017Virum-Sorgenfri(home)0-0Denmark Series - Group 1
Apr 29, 2017KFUM Roskilde(away)0-1Denmark Series - Group 1
Apr 22, 2017Kastrup(home)0-2Denmark Series - Group 1

What does the head-to-head say?

Across the last 4 meetings: 3 Hillerød wins, 0 draws, 1 Jægersborg win.

DateScoreCompetition
Mar 25, 2017Jægersborg 0-5 HillerødDenmark Series - Group 1
Sep 10, 2016Hillerød 2-1 JægersborgDenmark Series - Group 1
Jun 1, 2016Jægersborg 4-1 HillerødDenmark Series - Group 1
Nov 11, 2015Hillerød 4-0 JægersborgDenmark Series - Group 1

Last archived meeting: Jægersborg vs Hillerød on Mar 25, 2017

How many goals should we expect?

Hillerød score 2.7 and concede 0.7 goals per match over their last 15; Jægersborg score 0.8 and concede 1.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Hillerød2.70.767/1510/15
Jægersborg0.81.636/156/15

Over the last 15 matches in all competitions.

A question about Hillerød vs Jægersborg?

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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