Match

Kolding IF vs Næsby: result 4-3 and analysis

2nd Division - Group 2Regular Season - 14Kick-off on November 5, 2016 at 01:00 PM (UTC)Autocentralen Park, Kolding

Kolding IF
4-3
Næsby

Full time

What was the result of Kolding IF vs Næsby?

Kolding IF won 4-3 on November 5, 2016.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Kolding IF have 9 wins, 1 draw and 5 defeats; Næsby have 5, 2 and 8.

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

Kolding IF
DateOpponentScoreCompetition
Oct 29, 2016Svendborg(away)2-12nd Division - Group 2
Oct 21, 2016Middelfart(home)3-12nd Division - Group 2
Oct 16, 2016Greve(away)3-12nd Division - Group 2
Oct 7, 2016Sydvest(home)3-42nd Division - Group 2
Oct 1, 2016Marienlyst(away)2-12nd Division - Group 2
Næsby
DateOpponentScoreCompetition
Oct 29, 2016Marienlyst(home)1-02nd Division - Group 2
Oct 22, 2016Sydvest(away)1-32nd Division - Group 2
Oct 15, 2016Dalum(home)1-12nd Division - Group 2
Oct 8, 2016Svendborg(away)0-12nd Division - Group 2
Oct 1, 2016Middelfart(home)1-02nd Division - Group 2

What does the head-to-head say?

In the last meeting: 1 Kolding IF win, 0 draws, 0 Næsby wins.

DateScoreCompetition
Sep 17, 2016Næsby 1-3 Kolding IF2nd Division - Group 2

Last archived meeting: Næsby vs Kolding IF on Sep 17, 2016

How many goals should we expect?

Kolding IF score 2.7 and concede 1.7 goals per match over their last 15; Næsby score 1.1 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Kolding IF2.71.7113/1513/15
Næsby1.11.749/158/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2019-20 standings
#ClubPWDLGFGAPts
9Næsby17467202718

A question about Kolding IF 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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