Match

Elbasani vs Lushnja: result 1-2 and analysis

1st DivisionRegular Season - 19Kick-off on March 3, 2013 at 02:00 PM (UTC)Elbasan Arena, Elbasan

Elbasani
1-2
Lushnja

Full time

What was the result of Elbasani vs Lushnja?

Lushnja won 1-2 on March 3, 2013.

Goalscorers

  • 34′Eriol MerxhaElbasani
  • 86′Rrapush SuloLushnja
  • 90′Robert GrishajLushnja

What is the recent form of both teams?

Over their last 15 matches in all competitions, Elbasani have 3 wins, 4 draws and 8 defeats; Lushnja have 10, 4 and 1.

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

Elbasani
DateOpponentScoreCompetition
Feb 27, 2013Partizani(away)0-11st Division
Feb 16, 2013Kamza(home)0-01st Division
Feb 9, 2013Naftëtari Kuçovë(away)1-11st Division
Dec 8, 2012Himara(away)0-21st Division
Dec 1, 2012Gramshi(home)0-01st Division
Lushnja
DateOpponentScoreCompetition
Feb 23, 2013Butrinti Sarandë(home)3-01st Division
Feb 16, 2013Ada Velipojë(away)2-11st Division
Feb 9, 2013Besëlidhja Lezhë(away)0-01st Division
Dec 8, 2012Partizani(away)1-01st Division
Dec 1, 2012Kamza(home)2-01st Division

What does the head-to-head say?

Across the last 3 meetings: 0 Elbasani wins, 1 draw, 2 Lushnja wins.

DateScoreCompetition
Sep 22, 2012Lushnja 2-0 Elbasani1st Division
Mar 31, 2012Elbasani 0-0 Lushnja1st Division
Oct 22, 2011Lushnja 3-0 Elbasani1st Division

Last archived meeting: Lushnja vs Elbasani on Sep 22, 2012

How many goals should we expect?

Elbasani score 0.7 and concede 1.5 goals per match over their last 15; Lushnja score 1.5 and concede 0.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Elbasani0.71.546/157/15
Lushnja1.50.4104/154/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
12Lushnja3351117264726

A question about Elbasani vs Lushnja?

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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