Match

Jægersborg vs Skjold Sæby: result 1-0 and analysis

Denmark Series - Group 1Regular Season - 18Kick-off on April 23, 2016 at 11:00 AM (UTC)Jægersborg Stadion, Gentofte

Jægersborg
1-0
Skjold Sæby

Full time

What was the result of Jægersborg vs Skjold Sæby?

Jægersborg won 1-0 on April 23, 2016.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Jægersborg have 4 wins, 6 draws and 5 defeats; Skjold Sæby have 4, 4 and 7.

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

Jægersborg
DateOpponentScoreCompetition
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
Nov 4, 2015Skjold Sæby(away)3-0Denmark Series - Group 1
Skjold Sæby
DateOpponentScoreCompetition
Apr 16, 2016Virum-Sorgenfri(home)2-3Denmark Series - Group 1
Apr 9, 2016Vanløse(away)1-0Denmark Series - Group 1
Apr 2, 2016Herlev(home)1-0Denmark Series - Group 1
Mar 28, 2016Allerød(away)2-0Denmark Series - Group 1
Nov 4, 2015Jægersborg(home)0-3Denmark Series - Group 1

What does the head-to-head say?

In the last meeting: 1 Jægersborg win, 0 draws, 0 Skjold Sæby wins.

DateScoreCompetition
Nov 4, 2015Skjold Sæby 0-3 JægersborgDenmark Series - Group 1

Last archived meeting: Skjold Sæby vs Jægersborg on Nov 4, 2015

How many goals should we expect?

Jægersborg score 1.5 and concede 2.0 goals per match over their last 15; Skjold Sæby score 1.1 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Jægersborg1.52.049/1510/15
Skjold Sæby1.11.548/157/15

Over the last 15 matches in all competitions.

A question about Jægersborg vs Skjold Sæby?

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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