Match

Skjold Sæby vs Vanløse: result 1-2 and analysis

Denmark Series - Group 1Regular Season - 3Kick-off on August 22, 2015 at 01:30 PM (UTC)Birkerød Stadion, Birkerød

Skjold Sæby
1-2
Vanløse

Full time

What was the result of Skjold Sæby vs Vanløse?

Vanløse won 1-2 on August 22, 2015.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Skjold Sæby have 3 wins, 3 draws and 9 defeats; Vanløse have 6, 4 and 5.

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

Skjold Sæby
DateOpponentScoreCompetition
Aug 15, 2015Herlev(away)1-0Denmark Series - Group 1
Aug 11, 2015Thisted FC(home)1-7DBU Pokalen
Aug 8, 2015Allerød(home)1-1Denmark Series - Group 1
Aug 14, 2013Roskilde(home)1-4DBU Pokalen
Jun 15, 2013Skovshoved(away)2-0Denmark Series - Group 1
Vanløse
DateOpponentScoreCompetition
Aug 15, 2015FA 2000(home)3-1Denmark Series - Group 1
Aug 12, 2015Jægersborg(away)1-3DBU Pokalen
Aug 8, 2015LSF(away)2-2Denmark Series - Group 1
Jun 20, 2015Taastrup(away)3-0Denmark Series - Group 1
Jun 13, 2015NB Bornholm(home)0-0Denmark Series - Group 1

What does the head-to-head say?

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

DateScoreCompetition
Apr 19, 2013Vanløse 2-1 Skjold SæbyDenmark Series - Group 1
Sep 4, 2012Skjold Sæby 0-3 VanløseDenmark Series - Group 1

Last archived meeting: Vanløse vs Skjold Sæby on Apr 19, 2013

How many goals should we expect?

Skjold Sæby score 0.9 and concede 2.3 goals per match over their last 15; Vanløse score 1.6 and concede 1.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Skjold Sæby0.92.348/159/15
Vanløse1.61.448/158/15

Over the last 15 matches in all competitions.

A question about Skjold Sæby vs Vanløse?

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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