Match

Dalum vs Svendborg: result 3-1 and analysis

2nd Division - Group 2Regular Season - 12Kick-off on October 22, 2016 at 12:00 PM (UTC)Rema 1000 Park - Dalum, Odense

Dalum
3-1
Svendborg

Full time

What was the result of Dalum vs Svendborg?

Dalum won 3-1 on October 22, 2016.

What is the recent form of both teams?

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

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

Dalum
DateOpponentScoreCompetition
Oct 15, 2016Næsby(away)1-12nd Division - Group 2
Oct 8, 2016Marienlyst(home)2-22nd Division - Group 2
Oct 1, 2016Sydvest(away)2-02nd Division - Group 2
Sep 23, 2016Kolding IF(away)1-02nd Division - Group 2
Sep 17, 2016Greve(home)0-12nd Division - Group 2
Svendborg
DateOpponentScoreCompetition
Oct 15, 2016Middelfart(home)0-12nd Division - Group 2
Oct 8, 2016Næsby(home)1-02nd Division - Group 2
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

What does the head-to-head say?

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

DateScoreCompetition
Aug 19, 2016Svendborg 1-3 Dalum2nd Division - Group 2
Oct 31, 2015Svendborg 1-1 Dalum2nd Division - Group 2
Sep 5, 2015Dalum 0-4 Svendborg2nd Division - Group 2

Last archived meeting: Svendborg vs Dalum on Aug 19, 2016

How many goals should we expect?

Dalum score 1.5 and concede 1.3 goals per match over their last 15; Svendborg score 1.0 and concede 2.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Dalum1.51.339/156/15
Svendborg1.02.0210/158/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2019-20 standings
#ClubPWDLGFGAPts
8Dalum17647292722

A question about Dalum vs Svendborg?

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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