Match

Nørresundby vs Skjold Sæby: result 4-1 and analysis

Denmark Series - Group 4Group 4 - 2Kick-off on August 9, 2019 at 04:30 PM (UTC)Nordjyske Bank Arena, Nørresundby

Nørresundby
4-1
Skjold Sæby

Full time

What was the result of Nørresundby vs Skjold Sæby?

Nørresundby won 4-1 on August 9, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Nørresundby have 7 wins, 2 draws and 6 defeats; Skjold Sæby have 1, 4 and 10.

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

Nørresundby
DateOpponentScoreCompetition
Aug 6, 2019Lyseng(home)2-1DBU Pokalen
Aug 3, 2019Aarhus Fremad II(away)1-5Denmark Series - Group 4
Jun 15, 2019Lyseng(away)2-1Denmark Series - Group 4
Jun 7, 2019VSK Århus(home)1-3Denmark Series - Group 4
May 31, 2019Holstebro(away)2-3Denmark Series - Group 4
Skjold Sæby
DateOpponentScoreCompetition
Aug 7, 2019Fremad Amager(home)0-1DBU Pokalen
Aug 3, 2019Viby(home)4-2Denmark Series - Group 4
Jun 17, 2017Lystrup(away)0-5Denmark Series - Group 4
Jun 9, 2017Skanderborg(home)1-3Denmark Series - Group 4
Jun 3, 2017Randers Freja(away)1-3Denmark Series - Group 4

What does the head-to-head say?

In the last meeting: 1 Nørresundby win, 0 draws, 0 Skjold Sæby wins.

DateScoreCompetition
Aug 9, 2016Skjold Sæby 0-3 NørresundbyDBU Pokalen

Last archived meeting: Skjold Sæby vs Nørresundby on Aug 9, 2016

How many goals should we expect?

Nørresundby score 1.7 and concede 2.0 goals per match over their last 15; Skjold Sæby score 1.2 and concede 2.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Nørresundby1.72.0310/1513/15
Skjold Sæby1.22.6011/1512/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
8Nørresundby18459274017

A question about Nørresundby vs Skjold Sæby?

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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