Match

Lyseng vs Kjellerup: result 1-2 and analysis

Denmark Series - Group 4Group 4 - 1Kick-off on August 2, 2019 at 04:30 PM (UTC)Lyseng Idrætspark, Højbjerg

Lyseng
1-2
Kjellerup

Full time

What was the result of Lyseng vs Kjellerup?

Kjellerup won 1-2 on August 2, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Lyseng have 9 wins, 2 draws and 4 defeats; Kjellerup have 2, 4 and 9.

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

Lyseng
DateOpponentScoreCompetition
Jun 15, 2019Nørresundby(home)1-2Denmark Series - Group 4
Jun 9, 2019Aarhus Fremad II(away)3-1Denmark Series - Group 4
Jun 1, 2019Lystrup(home)6-0Denmark Series - Group 4
May 25, 2019Viby(away)4-1Denmark Series - Group 4
May 18, 2019VSK Århus(away)0-1Denmark Series - Group 4
Kjellerup
DateOpponentScoreCompetition
Apr 13, 2019Jammerbugt(home)3-22. Division
Apr 6, 2019Vejgaard B(away)1-22. Division
Mar 30, 2019Tarup-Paarup(home)1-12. Division
Mar 23, 2019Aarhus Fremad(away)2-32. Division
Mar 15, 2019Skive(home)1-72. Division

What does the head-to-head say?

Across the last 3 meetings: 1 Lyseng win, 1 draw, 1 Kjellerup win.

DateScoreCompetition
Oct 31, 2015Lyseng 1-3 KjellerupDenmark Series - Group 3
Apr 5, 2014Lyseng 2-2 KjellerupDenmark Series - Group 3
Aug 17, 2013Kjellerup 0-3 LysengDenmark Series - Group 3

Last archived meeting: Lyseng vs Kjellerup on Oct 31, 2015

How many goals should we expect?

Lyseng score 2.0 and concede 0.9 goals per match over their last 15; Kjellerup score 1.2 and concede 2.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Lyseng2.00.976/159/15
Kjellerup1.22.3210/1510/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2024-25 standings
#ClubPWDLGFGAPts
10Kjellerup183213204311

A question about Lyseng vs Kjellerup?

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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