Match

Kastrup vs Jægersborg: result 0-4 and analysis

Denmark Series - Group 1Regular Season - 19Kick-off on April 30, 2016 at 11:00 AM (UTC)Kastrup IA ved Røllikevej, Kastrup

Kastrup
0-4
Jægersborg

Full time

What was the result of Kastrup vs Jægersborg?

Jægersborg won 0-4 on April 30, 2016.

What is the recent form of both teams?

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

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

Kastrup
DateOpponentScoreCompetition
Apr 23, 2016Virum-Sorgenfri(away)2-1Denmark Series - Group 1
Apr 16, 2016Vanløse(home)6-1Denmark Series - Group 1
Apr 9, 2016Herlev(away)0-3Denmark Series - Group 1
Apr 2, 2016Allerød(home)1-1Denmark Series - Group 1
Mar 28, 2016Avedøre(away)1-1Denmark Series - Group 1
Jægersborg
DateOpponentScoreCompetition
Apr 23, 2016Skjold Sæby(home)1-0Denmark Series - Group 1
Apr 16, 2016FA 2000(away)1-1Denmark Series - Group 1
Apr 9, 2016LSF(home)1-0Denmark Series - Group 1
Apr 1, 2016Søllerød-Vedbæk(away)2-2Denmark Series - Group 1
Nov 11, 2015Hillerød(away)0-4Denmark Series - Group 1

What does the head-to-head say?

Across the last 3 meetings: 2 Kastrup wins, 0 draws, 1 Jægersborg win.

DateScoreCompetition
Sep 12, 2015Jægersborg 2-4 KastrupDenmark Series - Group 1
May 9, 2015Kastrup 0-3 JægersborgDenmark Series - Group 1
Sep 27, 2014Jægersborg 0-3 KastrupDenmark Series - Group 1

Last archived meeting: Jægersborg vs Kastrup on Sep 12, 2015

How many goals should we expect?

Kastrup score 2.3 and concede 1.7 goals per match over their last 15; Jægersborg score 1.4 and concede 1.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Kastrup2.31.7112/1511/15
Jægersborg1.41.958/159/15

Over the last 15 matches in all competitions.

A question about Kastrup 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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