Match

Kolding IF vs Dalum: result 1-2 and analysis

2nd Division - Group 2Regular Season - 12Kick-off on October 21, 2017 at 01:00 PM (UTC)Autocentralen Park, Kolding

Kolding IF
1-2
Dalum

Full time

What was the result of Kolding IF vs Dalum?

Dalum won 1-2 on October 21, 2017.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Kolding IF have 9 wins, 2 draws and 4 defeats; Dalum have 5, 3 and 7.

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

Kolding IF
DateOpponentScoreCompetition
Oct 14, 2017Næsby(away)0-02nd Division - Group 2
Oct 7, 2017Middelfart(home)2-12nd Division - Group 2
Sep 30, 2017HIK(away)1-42nd Division - Group 2
Sep 23, 2017Greve(away)1-02nd Division - Group 2
Sep 16, 2017Næsby(home)1-02nd Division - Group 2
Dalum
DateOpponentScoreCompetition
Oct 14, 2017Marienlyst(home)1-12nd Division - Group 2
Oct 7, 2017Greve(away)2-22nd Division - Group 2
Sep 30, 2017Avarta(home)1-22nd Division - Group 2
Sep 23, 2017Middelfart(home)0-22nd Division - Group 2
Sep 16, 2017HIK(away)0-22nd Division - Group 2

What does the head-to-head say?

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

DateScoreCompetition
Aug 4, 2017Dalum 1-4 Kolding IF2nd Division - Group 2
Sep 23, 2016Kolding IF 0-1 Dalum2nd Division - Group 2
Aug 12, 2016Dalum 1-5 Kolding IF2nd Division - Group 2

Last archived meeting: Dalum vs Kolding IF on Aug 4, 2017

How many goals should we expect?

Kolding IF score 1.8 and concede 1.3 goals per match over their last 15; Dalum score 1.5 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Kolding IF1.81.348/159/15
Dalum1.51.539/158/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2019-20 standings
#ClubPWDLGFGAPts
8Dalum17647292722

A question about Kolding IF vs Dalum?

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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