Match

Næsby vs Middelfart: result 0-4 and analysis

2nd Division - Group 2Regular Season - 6Kick-off on September 9, 2017 at 01:00 PM (UTC)ALPI Arena Næsby, Odense

Næsby
0-4
Middelfart

Full time

What was the result of Næsby vs Middelfart?

Middelfart won 0-4 on September 9, 2017.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Næsby have 3 wins, 2 draws and 10 defeats; Middelfart have 9, 2 and 4.

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

Næsby
DateOpponentScoreCompetition
Sep 2, 2017Dalum(away)2-32nd Division - Group 2
Aug 29, 2017VB 1968(away)0-1DBU Pokalen
Aug 25, 2017Avarta(home)2-52nd Division - Group 2
Aug 19, 2017HIK(away)3-42nd Division - Group 2
Aug 12, 2017Marienlyst(home)1-32nd Division - Group 2
Middelfart
DateOpponentScoreCompetition
Sep 2, 2017Kolding IF(home)2-02nd Division - Group 2
Aug 29, 2017Aabyhøj(away)4-3DBU Pokalen
Aug 26, 2017Dalum(home)2-12nd Division - Group 2
Aug 20, 2017Avarta(away)1-32nd Division - Group 2
Aug 12, 2017HIK(home)3-02nd Division - Group 2

What does the head-to-head say?

Across the last 2 meetings: 1 Næsby win, 0 draws, 1 Middelfart win.

DateScoreCompetition
Oct 1, 2016Næsby 1-0 Middelfart2nd Division - Group 2
Aug 27, 2016Middelfart 4-1 Næsby2nd Division - Group 2

Last archived meeting: Næsby vs Middelfart on Oct 1, 2016

How many goals should we expect?

Næsby score 1.3 and concede 2.0 goals per match over their last 15; Middelfart score 2.1 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Næsby1.32.049/159/15
Middelfart2.11.5311/1511/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

Næsby sit 9th in 2nd Division - Group 2 (18 points from 17 matches) and Middelfart sit 2nd (31 points from 17 matches).

2019-20 standings
#ClubPWDLGFGAPts
2Middelfart17944281931
9Næsby17467202718

A question about Næsby vs Middelfart?

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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