Gramshi vs Vora: result 0-1 and analysis
2nd Division - Group ARegular Season - 5Kick-off on November 1, 2015 at 01:00 PM (UTC)Fusha Sportive Gramshi, Gramsh
Full time
What was the result of Gramshi vs Vora?
Vora won 0-1 on November 1, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gramshi have 11 wins, 1 draw and 3 defeats; Vora have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2015 | Internacional Tirana(away) | 0-2 | 2nd Division - Group A |
| Oct 18, 2015 | Veleçiku Koplik(home) | 0-1 | 2nd Division - Group A |
| Oct 4, 2015 | Sukthi(away) | 1-3 | 2nd Division - Group A |
| Sep 27, 2015 | Tirana II(home) | 3-0 | 2nd Division - Group A |
| May 10, 2015 | Gramozi Ersekë(home) | 5-1 | 2nd Division - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2015 | Albpetrol Patos(home) | 3-0 | 2nd Division - Group A |
| Oct 18, 2015 | Luzi 2008(home) | 2-0 | 2nd Division - Group A |
| Oct 4, 2015 | Internacional Tirana(away) | 1-1 | 2nd Division - Group A |
| Sep 27, 2015 | Veleçiku Koplik(home) | 0-0 | 2nd Division - Group A |
| May 17, 2015 | Skrapari(home) | 5-1 | 2nd Division - Group A |
How many goals should we expect?
Gramshi score 2.0 and concede 0.9 goals per match over their last 15; Vora score 1.6 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gramshi | 2.0 | 0.9 | 6 | 7/15 | 9/15 |
| Vora | 1.6 | 1.0 | 7 | 5/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 11 | Gramshi | 22 | 3 | 5 | 14 | 27 | 50 | 14 |
A question about Gramshi vs Vora?
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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