Match

Skjold Sæby vs Nørresundby: result 1-0 and analysis

Denmark Series - Group 4Group 4 · Matchday 11Kick-off on October 12, 2019 at 01:00 PM (UTC)Fælledparken, København

Skjold Sæby
1-0
Nørresundby

Full time

What was the result of Skjold Sæby vs Nørresundby?

Skjold Sæby won 1-0 on October 12, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Skjold Sæby have 4 wins, 1 draw and 10 defeats; Nørresundby have 4, 3 and 8.

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

Skjold Sæby
DateOpponentScoreCompetition
Oct 5, 2019Viby(away)1-3Denmark Series - Group 4
Sep 29, 2019Kjellerup(away)2-5Denmark Series - Group 4
Sep 21, 2019Lyseng(home)2-3Denmark Series - Group 4
Sep 15, 2019Holstebro(away)2-1Denmark Series - Group 4
Sep 7, 2019Aarhus Fremad II(away)1-6Denmark Series - Group 4
Nørresundby
DateOpponentScoreCompetition
Oct 5, 2019Aarhus Fremad II(home)1-1Denmark Series - Group 4
Sep 28, 2019VRI(home)1-1Denmark Series - Group 4
Sep 20, 2019Silkeborg KFUM(away)2-3Denmark Series - Group 4
Sep 14, 2019Djursland(home)1-1Denmark Series - Group 4
Sep 11, 2019Aalborg(home)0-8DBU Pokalen

What does the head-to-head say?

Across the last 2 meetings: 0 Skjold Sæby wins, 0 draws, 2 Nørresundby wins.

DateScoreCompetition
Aug 9, 2019Nørresundby 4-1 Skjold SæbyDenmark Series - Group 4
Aug 9, 2016Skjold Sæby 0-3 NørresundbyDBU Pokalen

Last archived meeting: Nørresundby vs Skjold Sæby on Aug 9, 2019

How many goals should we expect?

Skjold Sæby score 1.9 and concede 2.7 goals per match over their last 15; Nørresundby score 1.6 and concede 2.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Skjold Sæby1.92.7210/1513/15
Nørresundby1.62.7013/1512/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
8Nørresundby18459274017

A question about Skjold Sæby vs Nørresundby?

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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