Match

Lushnja vs Tomori Berat: result 1-0 and analysis

1st DivisionPromotion Round - 6Kick-off on April 15, 2017 at 02:00 PM (UTC)Stadiumi Roza Haxhiu, Lushnjë

Lushnja
1-0
Tomori Berat

Full time

What was the result of Lushnja vs Tomori Berat?

Lushnja won 1-0 on April 15, 2017.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Lushnja have 9 wins, 5 draws and 1 defeat; Tomori Berat have 3, 3 and 9.

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

Lushnja
DateOpponentScoreCompetition
Apr 8, 2017Bylis(away)1-11st Division
Mar 26, 2017Pogradeci(home)2-11st Division
Mar 19, 2017Shkumbini Peqin(home)3-11st Division
Mar 11, 2017Tomori Berat(away)1-01st Division
Mar 4, 2017Pogradeci(home)0-11st Division
Tomori Berat
DateOpponentScoreCompetition
Apr 1, 2017Pogradeci(home)0-21st Division
Mar 25, 2017Shkumbini Peqin(away)1-21st Division
Mar 18, 2017Bylis(away)0-21st Division
Mar 11, 2017Lushnja(home)0-11st Division
Mar 4, 2017Elbasani(away)0-11st Division

What does the head-to-head say?

Across the last 6 meetings: 4 Lushnja wins, 1 draw, 1 Tomori Berat win.

DateScoreCompetition
Mar 11, 2017Tomori Berat 0-1 Lushnja1st Division
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 Mar 11, 2017

How many goals should we expect?

Lushnja score 1.5 and concede 0.7 goals per match over their last 15; Tomori Berat score 0.5 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Lushnja1.50.777/155/15
Tomori Berat0.51.143/151/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
12Lushnja3351117264726

A question about Lushnja vs Tomori Berat?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.

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

Other matches in the same round

Ready to know everything about football?