Match

LSF vs Skjold Sæby: result 1-1 and analysis

Denmark Series - Group 1Regular Season - 8Kick-off on September 26, 2015 at 12:00 PM (UTC)Ledøje Idrætscenter, Smørum

LSF
1-1
Skjold Sæby

Full time

What was the result of LSF vs Skjold Sæby?

LSF and Skjold Sæby drew 1-1 on September 26, 2015.

What is the recent form of both teams?

Over their last 15 matches in all competitions, LSF have 6 wins, 6 draws and 3 defeats; Skjold Sæby have 2, 3 and 10.

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

LSF
DateOpponentScoreCompetition
Sep 19, 2015FA 2000(away)2-3Denmark Series - Group 1
Sep 12, 2015GVI(away)3-2Denmark Series - Group 1
Sep 5, 2015Søllerød-Vedbæk(home)2-3Denmark Series - Group 1
Sep 2, 2015Lyngby(home)0-5DBU Pokalen
Aug 29, 2015Hillerød(away)2-2Denmark Series - Group 1
Skjold Sæby
DateOpponentScoreCompetition
Sep 19, 2015Søllerød-Vedbæk(home)0-0Denmark Series - Group 1
Sep 12, 2015Hillerød(away)0-3Denmark Series - Group 1
Aug 27, 2015Virum-Sorgenfri(away)1-1Denmark Series - Group 1
Aug 22, 2015Vanløse(home)1-2Denmark Series - Group 1
Aug 15, 2015Herlev(away)1-0Denmark Series - Group 1

What does the head-to-head say?

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

DateScoreCompetition
May 18, 2013LSF 3-1 Skjold SæbyDenmark Series - Group 1
Oct 2, 2012Skjold Sæby 1-2 LSFDenmark Series - Group 1

Last archived meeting: LSF vs Skjold Sæby on May 18, 2013

How many goals should we expect?

LSF score 2.2 and concede 1.6 goals per match over their last 15; Skjold Sæby score 0.8 and concede 2.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
LSF2.21.6311/1511/15
Skjold Sæby0.82.538/1510/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
7LSF187110323222

A question about LSF 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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