Match

Tomori Berat vs Lushnja: result 0-1 and analysis

1st DivisionPromotion Round - 1Kick-off on March 11, 2017 at 02:00 PM (UTC)Stadiumi Bashkim Sulejmani, Kuçovë

Tomori Berat
0-1
Lushnja

Full time

What was the result of Tomori Berat vs Lushnja?

Lushnja won 0-1 on March 11, 2017.

Goalscorers

  • 67′M. ÇamkoLushnja

What is the recent form of both teams?

Over their last 15 matches in all competitions, Tomori Berat have 5 wins, 4 draws and 6 defeats; Lushnja have 9, 5 and 1.

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

Tomori Berat
DateOpponentScoreCompetition
Mar 4, 2017Elbasani(away)0-11st Division
Feb 27, 2017Dinamo Tirana(home)1-11st Division
Feb 18, 2017Turbina Cërrik(away)0-21st Division
Feb 13, 2017Shkumbini Peqin(home)1-01st Division
Feb 3, 2017Pogradeci(home)0-11st Division
Lushnja
DateOpponentScoreCompetition
Mar 4, 2017Pogradeci(home)0-11st Division
Feb 25, 2017Apolonia Fier(away)2-01st Division
Feb 18, 2017Sopoti Librazhd(home)4-01st Division
Feb 13, 2017Bylis(away)1-11st Division
Feb 4, 2017Shkumbini Peqin(away)1-01st Division

What does the head-to-head say?

Across the last 5 meetings: 1 Tomori Berat win, 1 draw, 3 Lushnja wins.

DateScoreCompetition
Nov 27, 2016Tomori Berat 0-0 Lushnja1st Division
Sep 26, 2016Lushnja 1-0 Tomori Berat1st Division
Apr 25, 2015Tomori Berat 0-1 Lushnja1st Division
Mar 7, 2015Tomori Berat 0-1 Lushnja1st Division
Dec 6, 2014Lushnja 0-1 Tomori Berat1st Division

Last archived meeting: Tomori Berat vs Lushnja on Nov 27, 2016

How many goals should we expect?

Tomori Berat score 0.5 and concede 0.7 goals per match over their last 15; Lushnja score 1.7 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Tomori Berat0.50.772/150/15
Lushnja1.70.777/156/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
12Lushnja3351117264726

A question about Tomori Berat 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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