Match

Næsby vs Svendborg: result 3-2 and analysis

2nd Division - Group 2Regular Season - 6Kick-off on September 9, 2016 at 03:45 PM (UTC)ALPI Arena Næsby, Odense

Næsby
3-2
Svendborg

Full time

What was the result of Næsby vs Svendborg?

Næsby won 3-2 on September 9, 2016.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Næsby have 3 wins, 1 draw and 11 defeats; Svendborg have 1, 3 and 11.

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

Næsby
DateOpponentScoreCompetition
Sep 3, 2016Dalum(away)1-02nd Division - Group 2
Aug 27, 2016Middelfart(away)1-42nd Division - Group 2
Aug 20, 2016Greve(home)1-42nd Division - Group 2
Aug 13, 2016Marienlyst(away)0-22nd Division - Group 2
Aug 9, 2016OKS(away)1-2DBU Pokalen
Svendborg
DateOpponentScoreCompetition
Sep 3, 2016Marienlyst(home)0-22nd Division - Group 2
Aug 26, 2016Kolding IF(away)1-32nd Division - Group 2
Aug 19, 2016Dalum(home)1-32nd Division - Group 2
Aug 13, 2016Sydvest(away)2-22nd Division - Group 2
Aug 10, 2016FC Fredericia(home)1-4DBU Pokalen

What does the head-to-head say?

Across the last 2 meetings: 0 Næsby wins, 1 draw, 1 Svendborg win.

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

Last archived meeting: Svendborg vs Næsby on Oct 3, 2015

How many goals should we expect?

Næsby score 0.9 and concede 2.1 goals per match over their last 15; Svendborg score 0.8 and concede 2.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Næsby0.92.128/1510/15
Svendborg0.82.518/1511/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2019-20 standings
#ClubPWDLGFGAPts
9Næsby17467202718

A question about Næsby vs Svendborg?

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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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