Gramshi vs Përmeti: result 2-0 and analysis
2nd Division - Group BRegular Season - 8Kick-off on November 30, 2014 at 01:00 PM (UTC)Fusha Sportive Gramshi, Gramsh
Full time
What was the result of Gramshi vs Përmeti?
Gramshi won 2-0 on November 30, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gramshi have 8 wins, 4 draws and 3 defeats; Përmeti have 3, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 23, 2014 | Memaliaj(away) | 1-1 | 2nd Division - Group B |
| Nov 9, 2014 | Himara(home) | 3-1 | 2nd Division - Group B |
| Nov 2, 2014 | Tepelena(away) | 0-0 | 2nd Division - Group B |
| Oct 26, 2014 | Turbina Cërrik(home) | 1-1 | 2nd Division - Group B |
| Oct 19, 2014 | Egnatia Rrogozhinë(away) | 3-0 | 2nd Division - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 23, 2014 | Gramozi Ersekë(home) | 0-1 | 2nd Division - Group B |
| Nov 9, 2014 | Bilisht Sporti(away) | 0-2 | 2nd Division - Group B |
| Nov 2, 2014 | Oriku(home) | 2-2 | 2nd Division - Group B |
| Oct 26, 2014 | Delvina(away) | 0-2 | 2nd Division - Group B |
| Oct 19, 2014 | Memaliaj(away) | 0-5 | 2nd Division - Group B |
What does the head-to-head say?
Across the last 2 meetings: 2 Gramshi wins, 0 draws, 0 Përmeti wins.
| Date | Score | Competition |
|---|---|---|
| Mar 23, 2014 | Gramshi 3-1 Përmeti | 2nd Division - Group B |
| Oct 27, 2013 | Përmeti 0-2 Gramshi | 2nd Division - Group B |
How many goals should we expect?
Gramshi score 1.9 and concede 1.1 goals per match over their last 15; Përmeti score 1.1 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gramshi | 1.9 | 1.1 | 4 | 10/15 | 9/15 |
| Përmeti | 1.1 | 2.0 | 1 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Gramshi vs Përmeti?
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