Përmeti vs Tepelena: result 1-2 and analysis
2nd Division - Group BRegular Season - 8Kick-off on November 14, 2012 at 01:00 PM (UTC)Stadiumi Durim Qypi, Përmet
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What was the result of Përmeti vs Tepelena?
Tepelena won 1-2 on November 14, 2012.
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; Tepelena have 10, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2012 | Memaliaj(home) | 1-1 | 2nd Division - Group B |
| Oct 28, 2012 | Skrapari(away) | 1-1 | 2nd Division - Group B |
| Oct 21, 2012 | Bilisht Sporti(home) | 0-3 | 2nd Division - Group B |
| Oct 14, 2012 | Gramozi Ersekë(away) | 0-1 | 2nd Division - Group B |
| Oct 7, 2012 | Këlcyra(home) | 3-0 | 2nd Division - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2012 | Skrapari(home) | 3-0 | 2nd Division - Group B |
| Oct 28, 2012 | Bilisht Sporti(away) | 3-3 | 2nd Division - Group B |
| Oct 21, 2012 | Gramozi Ersekë(home) | 5-1 | 2nd Division - Group B |
| Oct 13, 2012 | Këlcyra(away) | 3-0 | 2nd Division - Group B |
| Oct 7, 2012 | Delvina(home) | 1-0 | 2nd Division - Group B |
What does the head-to-head say?
Across the last 2 meetings: 1 Përmeti win, 0 draws, 1 Tepelena win.
| Date | Score | Competition |
|---|---|---|
| May 13, 2012 | Përmeti 1-0 Tepelena | 2nd Division - Group B |
| Dec 18, 2011 | Tepelena 4-2 Përmeti | 2nd Division - Group B |
How many goals should we expect?
Përmeti score 0.9 and concede 1.7 goals per match over their last 15; Tepelena score 2.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Përmeti | 0.9 | 1.7 | 2 | 8/15 | 8/15 |
| Tepelena | 2.1 | 1.3 | 5 | 6/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Përmeti vs Tepelena?
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