Match

Kolding IF vs Middelfart: result 3-1 and analysis

2nd Division - Group 2Regular Season - 12Kick-off on October 21, 2016 at 05:00 PM (UTC)Autocentralen Park, Kolding

Kolding IF
3-1
Middelfart

Full time

What was the result of Kolding IF vs Middelfart?

Kolding IF won 3-1 on October 21, 2016.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Kolding IF have 8 wins, 1 draw and 6 defeats; Middelfart have 7, 3 and 5.

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

Kolding IF
DateOpponentScoreCompetition
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
Sep 23, 2016Dalum(home)0-12nd Division - Group 2
Sep 17, 2016Næsby(away)3-12nd Division - Group 2
Middelfart
DateOpponentScoreCompetition
Oct 15, 2016Svendborg(away)1-02nd Division - Group 2
Oct 8, 2016Greve(home)3-12nd Division - Group 2
Oct 1, 2016Næsby(away)0-12nd Division - Group 2
Sep 24, 2016Marienlyst(home)2-12nd Division - Group 2
Sep 17, 2016Svendborg(home)3-12nd Division - Group 2

What does the head-to-head say?

Across the last 3 meetings: 1 Kolding IF win, 0 draws, 2 Middelfart wins.

DateScoreCompetition
Sep 3, 2016Middelfart 2-5 Kolding IF2nd Division - Group 2
Apr 9, 2012Middelfart 4-1 Kolding IFDenmark Series - Group 2
Aug 20, 2011Kolding IF 1-2 MiddelfartDenmark Series - Group 2

Last archived meeting: Middelfart vs Kolding IF on Sep 3, 2016

How many goals should we expect?

Kolding IF score 2.5 and concede 1.8 goals per match over their last 15; Middelfart score 1.9 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Kolding IF2.51.8113/1513/15
Middelfart1.91.7211/1510/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2019-20 standings
#ClubPWDLGFGAPts
2Middelfart17944281931

A question about Kolding IF vs Middelfart?

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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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