Përmeti vs Skrapari: result 1-0 and analysis
2nd Division - Group BRegular Season - 15Kick-off on April 7, 2013 at 02:00 PM (UTC)Stadiumi Durim Qypi, Përmet
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What was the result of Përmeti vs Skrapari?
Përmeti won 1-0 on April 7, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Përmeti have 3 wins, 3 draws and 9 defeats; Skrapari have 2, 3 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 31, 2013 | Bilisht Sporti(away) | 2-3 | 2nd Division - Group B |
| Mar 24, 2013 | Gramozi Ersekë(home) | 3-0 | 2nd Division - Group B |
| Mar 17, 2013 | Këlcyra(away) | 0-1 | 2nd Division - Group B |
| Mar 10, 2013 | Delvina(home) | 0-0 | 2nd Division - Group B |
| Mar 3, 2013 | Sopoti Librazhd(away) | 0-2 | 2nd Division - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 31, 2013 | Memaliaj(away) | 1-4 | 2nd Division - Group B |
| Mar 24, 2013 | Bilisht Sporti(home) | 0-3 | 2nd Division - Group B |
| Mar 17, 2013 | Gramozi Ersekë(away) | 0-3 | 2nd Division - Group B |
| Mar 10, 2013 | Këlcyra(home) | 1-1 | 2nd Division - Group B |
| Mar 3, 2013 | Delvina(away) | 0-2 | 2nd Division - Group B |
What does the head-to-head say?
In the last meeting: 0 Përmeti wins, 1 draw, 0 Skrapari wins.
| Date | Score | Competition |
|---|---|---|
| Oct 28, 2012 | Skrapari 1-1 Përmeti | 2nd Division - Group B |
How many goals should we expect?
Përmeti score 0.8 and concede 1.7 goals per match over their last 15; Skrapari score 0.9 and concede 2.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Përmeti | 0.8 | 1.7 | 4 | 4/15 | 7/15 |
| Skrapari | 0.9 | 2.8 | 2 | 8/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Përmeti vs Skrapari?
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