Match

Næsby vs Ringkøbing: result 0-0 and analysis

2nd Division - Group 2Group 2 - 17Kick-off on March 7, 2020 at 01:00 PM (UTC)ALPI Arena Næsby, Odense

Næsby
0-0
Ringkøbing

Full time

What was the result of Næsby vs Ringkøbing?

Næsby and Ringkøbing drew 0-0 on March 7, 2020.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Næsby have 4 wins, 5 draws and 6 defeats; Ringkøbing have 2, 6 and 7.

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

Næsby
DateOpponentScoreCompetition
Nov 9, 2019Middelfart(away)1-22nd Division - Group 2
Nov 2, 2019Jammerbugt(home)2-22nd Division - Group 2
Oct 26, 2019Vejgaard B(away)2-02nd Division - Group 2
Oct 19, 2019VSK Århus(home)1-02nd Division - Group 2
Oct 12, 2019Dalum(away)0-02nd Division - Group 2
Ringkøbing
DateOpponentScoreCompetition
Feb 29, 2020Silkeborg KFUM(home)2-2Friendlies Clubs
Feb 19, 2020Holstebro(home)2-2Friendlies Clubs
Nov 9, 2019Vejgaard B(away)3-32nd Division - Group 2
Nov 3, 2019Sydvest(home)2-12nd Division - Group 2
Oct 26, 2019VSK Århus(away)1-32nd Division - Group 2

What does the head-to-head say?

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

DateScoreCompetition
Sep 29, 2019Ringkøbing 1-3 Næsby2nd Division - Group 2

Last archived meeting: Ringkøbing vs Næsby on Sep 29, 2019

How many goals should we expect?

Næsby score 1.3 and concede 1.6 goals per match over their last 15; Ringkøbing score 1.6 and concede 2.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Næsby1.31.658/158/15
Ringkøbing1.62.4014/1514/15

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 Ringkøbing sit 11th (12 points from 17 matches).

2019-20 standings
#ClubPWDLGFGAPts
9Næsby17467202718
11Ringkøbing17269213712

A question about Næsby vs Ringkøbing?

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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