Gramshi vs Bilisht Sporti: result 3-1 and analysis
2nd Division - Group BRegular Season - 18Kick-off on April 6, 2014 at 02:00 PM (UTC)Fusha Sportive Gramshi, Gramsh
Full time
What was the result of Gramshi vs Bilisht Sporti?
Gramshi won 3-1 on April 6, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gramshi have 10 wins, 2 draws and 3 defeats; Bilisht Sporti have 9, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 30, 2014 | Tepelena(away) | 4-3 | 2nd Division - Group B |
| Mar 23, 2014 | Përmeti(home) | 3-1 | 2nd Division - Group B |
| Mar 16, 2014 | Gramozi Ersekë(away) | 1-1 | 2nd Division - Group B |
| Mar 9, 2014 | Oriku(home) | 2-1 | 2nd Division - Group B |
| Mar 2, 2014 | Skrapari(away) | 3-2 | 2nd Division - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 30, 2014 | Naftëtari Kuçovë(home) | 0-2 | 2nd Division - Group B |
| Mar 23, 2014 | Memaliaj(away) | 0-1 | 2nd Division - Group B |
| Mar 16, 2014 | Këlcyra(home) | 4-2 | 2nd Division - Group B |
| Mar 9, 2014 | Tepelena(home) | 2-1 | 2nd Division - Group B |
| Mar 2, 2014 | Përmeti(away) | 3-2 | 2nd Division - Group B |
What does the head-to-head say?
Across the last 1 meetings: 0 Gramshi win(s), 0 draw(s), 1 Bilisht Sporti win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 10, 2013 | Bilisht Sporti 4-1 Gramshi | 2nd Division - Group B |
Last archived meeting: Bilisht Sporti vs Gramshi on Nov 10, 2013
How many goals should we expect?
Gramshi score 1.7 and concede 1.2 goals per match over their last 15; Bilisht Sporti score 1.9 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gramshi | 1.7 | 1.2 | 5 | 8/15 | 6/15 |
| Bilisht Sporti | 1.9 | 1.2 | 4 | 6/15 | 9/15 |
Over the last 15 matches in all competitions.
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