Match

Bylis vs Lushnja: result 1-1 and analysis

1st DivisionPromotion Round - 5Kick-off on April 8, 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 April 8, 2017.

Goalscorers

  • 22′L. RuçoLushnja
  • 34′R. HyshmeriBylis

What is the recent form of both teams?

Over their last 15 matches in all competitions, Bylis have 12 wins, 3 draws and 0 defeats; Lushnja have 9, 5 and 1.

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

Bylis
DateOpponentScoreCompetition
Apr 1, 2017Shkumbini Peqin(away)3-01st Division
Mar 18, 2017Tomori Berat(home)2-01st Division
Mar 13, 2017Pogradeci(away)3-01st Division
Mar 4, 2017Apolonia Fier(home)1-01st Division
Feb 24, 2017Sopoti Librazhd(away)3-01st Division
Lushnja
DateOpponentScoreCompetition
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
Feb 25, 2017Apolonia Fier(away)2-01st Division

What does the head-to-head say?

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

DateScoreCompetition
Feb 13, 2017Bylis 1-1 Lushnja1st Division
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

Last archived meeting: Bylis vs Lushnja on Feb 13, 2017

How many goals should we expect?

Bylis score 1.7 and concede 0.3 goals per match over their last 15; Lushnja score 1.6 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Bylis1.70.3114/155/15
Lushnja1.60.777/156/15

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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