Gramshi vs Delvina: result 1-0 and analysis
2nd Division - Group BRegular Season - 11Kick-off on December 8, 2013 at 12:30 PM (UTC)Fusha Sportive Gramshi, Gramsh
Full time
What was the result of Gramshi vs Delvina?
Gramshi won 1-0 on December 8, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gramshi have 6 wins, 2 draws and 7 defeats; Delvina have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 1, 2013 | Këlcyra(away) | 3-2 | 2nd Division - Group B |
| Nov 24, 2013 | Naftëtari Kuçovë(away) | 0-1 | 2nd Division - Group B |
| Nov 17, 2013 | Memaliaj(home) | 1-0 | 2nd Division - Group B |
| Nov 10, 2013 | Bilisht Sporti(away) | 1-4 | 2nd Division - Group B |
| Nov 3, 2013 | Tepelena(home) | 2-0 | 2nd Division - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 1, 2013 | Naftëtari Kuçovë(home) | 0-0 | 2nd Division - Group B |
| Nov 24, 2013 | Memaliaj(away) | 0-1 | 2nd Division - Group B |
| Nov 17, 2013 | Bilisht Sporti(home) | 1-0 | 2nd Division - Group B |
| Nov 10, 2013 | Tepelena(away) | 1-3 | 2nd Division - Group B |
| Nov 3, 2013 | Përmeti(home) | 1-0 | 2nd Division - Group B |
How many goals should we expect?
Gramshi score 1.2 and concede 1.5 goals per match over their last 15; Delvina score 1.4 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gramshi | 1.2 | 1.5 | 5 | 5/15 | 5/15 |
| Delvina | 1.4 | 1.1 | 6 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Delvina | 20 | 7 | 5 | 8 | 32 | 31 | 26 |
A question about Gramshi vs Delvina?
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