Gramozi Ersekë vs Delvina: result 1-0 and analysis
2nd Division - Group BRegular Season - 8Kick-off on November 14, 2012 at 01:00 PM (UTC)Stadiumi Gramozi, Ersekë
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What was the result of Gramozi Ersekë vs Delvina?
Gramozi Ersekë won 1-0 on November 14, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gramozi Ersekë have 4 wins, 1 draw and 10 defeats; Delvina have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2012 | Sopoti Librazhd(away) | 0-1 | 2nd Division - Group B |
| Oct 28, 2012 | Albpetrol Patos(home) | 0-2 | 2nd Division - Group B |
| Oct 21, 2012 | Tepelena(away) | 1-5 | 2nd Division - Group B |
| Oct 14, 2012 | Përmeti(home) | 1-0 | 2nd Division - Group B |
| Oct 7, 2012 | Skrapari(away) | 0-4 | 2nd Division - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2012 | Këlcyra(home) | 2-0 | 2nd Division - Group B |
| Oct 28, 2012 | Memaliaj(away) | 1-0 | 2nd Division - Group B |
| Oct 21, 2012 | Sopoti Librazhd(away) | 0-3 | 2nd Division - Group B |
| Oct 14, 2012 | Albpetrol Patos(home) | 2-3 | 2nd Division - Group B |
| Oct 7, 2012 | Tepelena(away) | 0-1 | 2nd Division - Group B |
How many goals should we expect?
Gramozi Ersekë score 0.9 and concede 2.7 goals per match over their last 15; Delvina score 2.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gramozi Ersekë | 0.9 | 2.7 | 2 | 6/15 | 9/15 |
| Delvina | 2.1 | 1.3 | 7 | 5/15 | 9/15 |
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 Gramozi Ersekë vs Delvina?
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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