Match

Skjold Sæby vs Lyseng: result 2-3 and analysis

Denmark Series - Group 4Group 4 - 8Kick-off on September 21, 2019 at 01:00 PM (UTC)Fælledparken, København

Skjold Sæby
2-3
Lyseng

Full time

What was the result of Skjold Sæby vs Lyseng?

Lyseng won 2-3 on September 21, 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; Lyseng have 8, 1 and 6.

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

Skjold Sæby
DateOpponentScoreCompetition
Sep 15, 2019Holstebro(away)2-1Denmark Series - Group 4
Sep 7, 2019Aarhus Fremad II(away)1-6Denmark Series - Group 4
Aug 31, 2019VRI(home)8-0Denmark Series - Group 4
Aug 23, 2019Silkeborg KFUM(away)0-3Denmark Series - Group 4
Aug 16, 2019Djursland(home)4-0Denmark Series - Group 4
Lyseng
DateOpponentScoreCompetition
Sep 14, 2019Aarhus Fremad II(home)4-2Denmark Series - Group 4
Sep 7, 2019VRI(away)3-0Denmark Series - Group 4
Aug 31, 2019Silkeborg KFUM(home)1-4Denmark Series - Group 4
Aug 24, 2019Djursland(away)0-0Denmark Series - Group 4
Aug 17, 2019Nørresundby(home)4-2Denmark Series - Group 4

What does the head-to-head say?

Across the last 3 meetings: 0 Skjold Sæby wins, 0 draws, 3 Lyseng wins.

DateScoreCompetition
Apr 22, 2017Skjold Sæby 0-3 LysengDenmark Series - Group 4
Oct 8, 2016Lyseng 2-1 Skjold SæbyDenmark Series - Group 4
Aug 23, 2016Skjold Sæby 0-1 LysengDenmark Series - Group 4

Last archived meeting: Skjold Sæby vs Lyseng on Apr 22, 2017

How many goals should we expect?

Skjold Sæby score 1.7 and concede 2.5 goals per match over their last 15; Lyseng score 2.3 and concede 1.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Skjold Sæby1.72.529/1513/15
Lyseng2.31.4410/1512/15

Over the last 15 matches in all competitions.

A question about Skjold Sæby vs Lyseng?

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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