Match

Viby vs Skjold Sæby: result 3-0 and analysis

Denmark Series - Group 2Relegation Round Group 2 - 7Kick-off on June 26, 2021 at 12:00 PM (UTC)Viby Idrætspark, Viby J

Viby
3-0
Skjold Sæby

Full time

What was the result of Viby vs Skjold Sæby?

Viby won 3-0 on June 26, 2021.

What is the recent form of both teams?

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

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

Viby
DateOpponentScoreCompetition
Jun 23, 2021Tjørring(away)1-0Denmark Series - Group 2
Jun 19, 2021Aarhus Fremad II(away)2-1Denmark Series - Group 2
Jun 12, 2021Kjellerup(home)0-0Denmark Series - Group 2
Jun 5, 2021Nørresundby(away)1-1Denmark Series - Group 2
May 29, 2021Herning Fremad(home)5-1Denmark Series - Group 2
Skjold Sæby
DateOpponentScoreCompetition
Jun 23, 2021Horsens II(home)2-1Denmark Series - Group 2
Jun 19, 2021Tarup-Paarup(away)2-4Denmark Series - Group 2
Jun 13, 2021Ringkøbing(away)2-1Denmark Series - Group 2
Jun 8, 2021Kolding B(away)1-3Denmark Series - Group 2
Jun 5, 2021Varde IF Elite(home)1-0Denmark Series - Group 2

What does the head-to-head say?

Across the last 2 meetings: 1 Viby win, 0 draws, 1 Skjold Sæby win.

DateScoreCompetition
Oct 5, 2019Viby 3-1 Skjold SæbyDenmark Series - Group 4
Aug 3, 2019Skjold Sæby 4-2 VibyDenmark Series - Group 4

Last archived meeting: Viby vs Skjold Sæby on Oct 5, 2019

How many goals should we expect?

Viby score 1.5 and concede 1.2 goals per match over their last 15; Skjold Sæby score 1.3 and concede 1.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Viby1.51.2310/157/15
Skjold Sæby1.31.849/158/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
5Skjold Sæby18756292926

A question about Viby 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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