Match

Pogradeci vs Lushnja: result 2-2 and analysis

1st DivisionPromotion Round - 8Kick-off on April 30, 2017 at 12:00 PM (UTC)Stadiumi Gjorgji Kyçyku, Pogradec

Pogradeci
2-2
Lushnja

Full time

What was the result of Pogradeci vs Lushnja?

Pogradeci and Lushnja drew 2-2 on April 30, 2017.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Pogradeci have 7 wins, 2 draws and 6 defeats; Lushnja have 10, 4 and 1.

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

Pogradeci
DateOpponentScoreCompetition
Apr 17, 2017Bylis(away)0-11st Division
Apr 8, 2017Shkumbini Peqin(home)0-01st Division
Apr 1, 2017Tomori Berat(away)2-01st Division
Mar 26, 2017Lushnja(away)1-21st Division
Mar 13, 2017Bylis(home)0-31st Division
Lushnja
DateOpponentScoreCompetition
Apr 22, 2017Shkumbini Peqin(away)2-11st Division
Apr 15, 2017Tomori Berat(home)1-01st Division
Apr 8, 2017Bylis(away)1-11st Division
Mar 26, 2017Pogradeci(home)2-11st Division
Mar 19, 2017Shkumbini Peqin(home)3-11st Division

What does the head-to-head say?

Across the last 6 meetings: 3 Pogradeci wins, 1 draw, 2 Lushnja wins.

DateScoreCompetition
Mar 26, 2017Lushnja 2-1 Pogradeci1st Division
Mar 4, 2017Lushnja 0-1 Pogradeci1st Division
Nov 18, 2016Pogradeci 3-3 Lushnja1st Division
Apr 23, 2016Pogradeci 3-1 Lushnja1st Division
Feb 20, 2016Pogradeci 2-0 Lushnja1st Division
Oct 24, 2015Lushnja 1-0 Pogradeci1st Division

Last archived meeting: Lushnja vs Pogradeci on Mar 26, 2017

How many goals should we expect?

Pogradeci score 1.1 and concede 0.9 goals per match over their last 15; Lushnja score 1.4 and concede 0.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Pogradeci1.10.974/156/15
Lushnja1.40.586/154/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
1Pogradeci53207111

A question about Pogradeci 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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