Match

Bylis vs Lushnja: result 1-1 and analysis

1st DivisionRegular Season - 15Kick-off on February 13, 2017 at 12:00 PM (UTC)Stadiumi Adush Muça, Ballsh

Bylis
1-1
Lushnja

Full time

What was the result of Bylis vs Lushnja?

Bylis and Lushnja drew 1-1 on February 13, 2017.

Goalscorers

  • 34′L. MuçajBylis
  • 63′O. GavaLushnja (o.g.)

What is the recent form of both teams?

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

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

Bylis
DateOpponentScoreCompetition
Feb 4, 2017Elbasani(away)2-11st Division
Dec 16, 2016Dinamo Tirana(home)2-11st Division
Dec 10, 2016Turbina Cërrik(away)1-01st Division
Dec 3, 2016Tomori Berat(home)2-01st Division
Nov 26, 2016Pogradeci(away)2-01st Division
Lushnja
DateOpponentScoreCompetition
Feb 4, 2017Shkumbini Peqin(away)1-01st Division
Dec 17, 2016Elbasani(home)1-01st Division
Dec 11, 2016Dinamo Tirana(away)1-01st Division
Dec 3, 2016Turbina Cërrik(home)1-11st Division
Nov 27, 2016Tomori Berat(away)0-01st Division

What does the head-to-head say?

Across the last 6 meetings: 2 Bylis wins, 0 draws, 4 Lushnja wins.

DateScoreCompetition
Nov 1, 2016Lushnja 2-1 Bylis1st Division
May 16, 2015Lushnja 0-1 Bylis1st Division
Dec 13, 2014Lushnja 3-2 Bylis1st Division
Sep 27, 2014Bylis 1-0 Lushnja1st Division
Mar 28, 2014Bylis 0-3 LushnjaSuperliga
Feb 22, 2014Lushnja 2-0 BylisSuperliga

Last archived meeting: Lushnja vs Bylis on Nov 1, 2016

How many goals should we expect?

Bylis score 1.1 and concede 0.7 goals per match over their last 15; Lushnja score 1.6 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Bylis1.10.776/155/15
Lushnja1.60.977/157/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
4Bylis5230539

A question about Bylis 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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