Lushnja vs Bylis: result 2-0 and analysis
SuperligaRegular Season - 20Kick-off on February 22, 2014 at 01:00 PM (UTC)Stadiumi Roza Haxhiu, Lushnjë
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What was the result of Lushnja vs Bylis?
Lushnja won 2-0 on February 22, 2014.
Goalscorers
- 12′L. TrashiLushnja
- 88′Carteziane Fonseca FerreiraLushnja
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lushnja have 3 wins, 3 draws and 9 defeats; Bylis have 4, 7 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 15, 2014 | Partizani(away) | 0-2 | Superliga |
| Feb 9, 2014 | Kastrioti Krujë(home) | 0-0 | Superliga |
| Feb 2, 2014 | Teuta Durrës(away) | 2-6 | Superliga |
| Dec 21, 2013 | Skenderbeu Korce(home) | 0-1 | Superliga |
| Dec 15, 2013 | Vllaznia Shkodër(away) | 0-2 | Superliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 16, 2014 | Tirana(home) | 0-1 | Superliga |
| Feb 9, 2014 | FK Kukesi(away) | 0-0 | Superliga |
| Feb 2, 2014 | Flamurtari(home) | 0-0 | Superliga |
| Dec 22, 2013 | Besa Kavajë(away) | 1-2 | Superliga |
| Dec 14, 2013 | Laci(home) | 1-0 | Superliga |
What does the head-to-head say?
In the last meeting: 0 Lushnja wins, 1 draw, 0 Bylis wins.
| Date | Score | Competition |
|---|---|---|
| Oct 26, 2013 | Bylis 1-1 Lushnja | Superliga |
How many goals should we expect?
Lushnja score 0.9 and concede 1.7 goals per match over their last 15; Bylis score 1.0 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lushnja | 0.9 | 1.7 | 3 | 6/15 | 4/15 |
| Bylis | 1.0 | 0.9 | 6 | 7/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Bylis | 36 | 10 | 11 | 15 | 38 | 50 | 41 |
A question about Lushnja vs Bylis?
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