Match

Svendborg vs Næsby: result 1-0 and analysis

2nd Division - Group 2Regular Season - 10Kick-off on October 8, 2016 at 01:00 PM (UTC)Høje Bøge Stadion, Svendborg

Svendborg
1-0
Næsby

Full time

What was the result of Svendborg vs Næsby?

Svendborg won 1-0 on October 8, 2016.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Svendborg have 1 win, 4 draws and 10 defeats; Næsby have 5, 2 and 8.

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

Svendborg
DateOpponentScoreCompetition
Oct 2, 2016Greve(away)1-12nd Division - Group 2
Sep 24, 2016Sydvest(home)2-02nd Division - Group 2
Sep 17, 2016Middelfart(away)1-32nd Division - Group 2
Sep 9, 2016Næsby(away)2-32nd Division - Group 2
Sep 3, 2016Marienlyst(home)0-22nd Division - Group 2
Næsby
DateOpponentScoreCompetition
Oct 1, 2016Middelfart(home)1-02nd Division - Group 2
Sep 25, 2016Greve(away)0-02nd Division - Group 2
Sep 17, 2016Kolding IF(home)1-32nd Division - Group 2
Sep 9, 2016Svendborg(home)3-22nd Division - Group 2
Sep 3, 2016Dalum(away)1-02nd Division - Group 2

What does the head-to-head say?

Across the last 3 meetings: 1 Svendborg win, 1 draw, 1 Næsby win.

DateScoreCompetition
Sep 9, 2016Næsby 3-2 Svendborg2nd Division - Group 2
Oct 3, 2015Svendborg 3-0 Næsby2nd Division - Group 2
Aug 7, 2015Næsby 2-2 Svendborg2nd Division - Group 2

Last archived meeting: Næsby vs Svendborg on Sep 9, 2016

How many goals should we expect?

Svendborg score 0.9 and concede 2.3 goals per match over their last 15; Næsby score 1.2 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Svendborg0.92.3110/159/15
Næsby1.21.749/1510/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2019-20 standings
#ClubPWDLGFGAPts
9Næsby17467202718

A question about Svendborg vs Næsby?

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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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