Bylis vs Besa Kavajë: result 0-3 and analysis
SuperligaRegular Season - 31Kick-off on April 29, 2014 at 10:00 PM (UTC)Stadiumi Adush Muça, Ballsh
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What was the result of Bylis vs Besa Kavajë?
Besa Kavajë won 0-3 on April 29, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bylis have 0 wins, 3 draws and 12 defeats; Besa Kavajë have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 25, 2014 | Flamurtari(away) | 0-3 | Superliga |
| Apr 19, 2014 | Tirana(home) | 0-3 | Superliga |
| Apr 11, 2014 | Vllaznia Shkodër(away) | 0-3 | Superliga |
| Apr 5, 2014 | Kastrioti Krujë(away) | 0-3 | Superliga |
| Mar 28, 2014 | Lushnja(home) | 0-3 | Superliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 26, 2014 | Lushnja(home) | 3-0 | Superliga |
| Apr 20, 2014 | Skenderbeu Korce(away) | 0-1 | Superliga |
| Apr 12, 2014 | Laci(home) | 0-0 | Superliga |
| Apr 5, 2014 | Partizani(away) | 0-1 | Superliga |
| Mar 30, 2014 | FK Kukesi(home) | 0-1 | Superliga |
What does the head-to-head say?
Across the last 4 meetings: 2 Bylis win(s), 1 draw(s), 1 Besa Kavajë win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 22, 2013 | Besa Kavajë 2-1 Bylis | Superliga |
| Sep 28, 2013 | Bylis 3-0 Besa Kavajë | Superliga |
| May 11, 2013 | Bylis 1-1 Besa Kavajë | Superliga |
| Dec 2, 2012 | Besa Kavajë 1-3 Bylis | Superliga |
How many goals should we expect?
Bylis score 0.1 and concede 2.0 goals per match over their last 15; Besa Kavajë score 1.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bylis | 0.1 | 2.0 | 3 | 2/15 | 9/15 |
| Besa Kavajë | 1.3 | 0.9 | 4 | 7/15 | 6/15 |
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 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy