Match

Næsby vs Frem: result 0-3 and analysis

2nd Division - Group 2Regular Season - 10Kick-off on October 10, 2015 at 01:00 PM (UTC)ALPI Arena Næsby, Odense

Næsby
0-3
Frem

Full time

What was the result of Næsby vs Frem?

Frem won 0-3 on October 10, 2015.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Næsby have 5 wins, 2 draws and 8 defeats; Frem have 6, 5 and 4.

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

Næsby
DateOpponentScoreCompetition
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
Sep 8, 2015B 93(away)1-02nd Division - Group 2
Frem
DateOpponentScoreCompetition
Oct 3, 2015Fremad Amager(home)2-02nd Division - Group 2
Sep 26, 2015Marienlyst(away)0-22nd Division - Group 2
Sep 19, 2015Marienlyst(home)1-12nd Division - Group 2
Sep 13, 2015Nykobing FC(away)0-02nd Division - Group 2
Sep 5, 2015B 93(home)0-12nd Division - Group 2

What does the head-to-head say?

In the last meeting: 0 Næsby wins, 1 draw, 0 Frem wins.

DateScoreCompetition
Aug 15, 2015Frem 2-2 Næsby2nd Division - Group 2

Last archived meeting: Frem vs Næsby on Aug 15, 2015

How many goals should we expect?

Næsby score 1.5 and concede 1.8 goals per match over their last 15; Frem score 1.7 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Næsby1.51.853/158/15
Frem1.71.057/159/15

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 Frem sit 5th (25 points from 17 matches).

2019-20 standings
#ClubPWDLGFGAPts
5FremGroup 117674262225
9NæsbyGroup 217467202718

A question about Næsby vs Frem?

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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