Match

Dalum vs Næsby: result 1-4 and analysis

2nd Division - Group 2Regular Season - 11Kick-off on October 17, 2015 at 12:00 PM (UTC)Rema 1000 Park - Dalum, Odense

Dalum
1-4
Næsby

Full time

What was the result of Dalum vs Næsby?

Næsby won 1-4 on October 17, 2015.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Dalum have 8 wins, 2 draws and 5 defeats; Næsby have 4, 2 and 9.

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

Dalum
DateOpponentScoreCompetition
Oct 11, 2015Fremad Amager(away)4-22nd Division - Group 2
Oct 3, 2015Marienlyst(home)1-22nd Division - Group 2
Sep 27, 2015Nykobing FC(away)1-42nd Division - Group 2
Sep 19, 2015Nykobing FC(home)1-12nd Division - Group 2
Sep 12, 2015B 93(away)2-02nd Division - Group 2
Næsby
DateOpponentScoreCompetition
Oct 10, 2015Frem(home)0-32nd Division - Group 2
Oct 3, 2015Svendborg(away)0-32nd Division - Group 2
Sep 27, 2015Fremad Amager(away)0-22nd Division - Group 2
Sep 19, 2015Fremad Amager(home)0-22nd Division - Group 2
Sep 12, 2015Marienlyst(away)1-32nd Division - Group 2

What does the head-to-head say?

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

DateScoreCompetition
Aug 21, 2015Næsby 0-2 Dalum2nd Division - Group 2

Last archived meeting: Næsby vs Dalum on Aug 21, 2015

How many goals should we expect?

Dalum score 2.2 and concede 1.7 goals per match over their last 15; Næsby score 1.1 and concede 2.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Dalum2.21.7311/1512/15
Næsby1.12.043/158/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

Dalum sit 8th in 2nd Division - Group 2 (22 points from 17 matches) and Næsby sit 9th (18 points from 17 matches).

2019-20 standings
#ClubPWDLGFGAPts
8Dalum17647292722
9Næsby17467202718

A question about Dalum vs Næsby?

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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