Gramozi Ersekë vs Tepelena: result 1-2 and analysis
2nd Division - Group BRegular Season - 14Kick-off on March 31, 2013 at 01:00 PM (UTC)Stadiumi Gramozi, Ersekë
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What was the result of Gramozi Ersekë vs Tepelena?
Tepelena won 1-2 on March 31, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gramozi Ersekë have 5 wins, 1 draw 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 |
|---|---|---|---|
| Mar 24, 2013 | Përmeti(away) | 0-3 | 2nd Division - Group B |
| Mar 17, 2013 | Skrapari(home) | 3-0 | 2nd Division - Group B |
| Mar 10, 2013 | Bilisht Sporti(away) | 0-4 | 2nd Division - Group B |
| Mar 3, 2013 | Memaliaj(away) | 0-2 | 2nd Division - Group B |
| Nov 18, 2012 | Këlcyra(away) | 1-0 | 2nd Division - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 24, 2013 | Këlcyra(home) | 2-0 | 2nd Division - Group B |
| Mar 17, 2013 | Delvina(away) | 0-3 | 2nd Division - Group B |
| Mar 10, 2013 | Sopoti Librazhd(home) | 2-1 | 2nd Division - Group B |
| Mar 3, 2013 | Albpetrol Patos(away) | 1-3 | 2nd Division - Group B |
| Nov 18, 2012 | Memaliaj(home) | 3-1 | 2nd Division - Group B |
What does the head-to-head say?
In the last meeting: 0 Gramozi Ersekë wins, 0 draws, 1 Tepelena win.
| Date | Score | Competition |
|---|---|---|
| Oct 21, 2012 | Tepelena 5-1 Gramozi Ersekë | 2nd Division - Group B |
Last archived meeting: Tepelena vs Gramozi Ersekë on Oct 21, 2012
How many goals should we expect?
Gramozi Ersekë score 0.9 and concede 2.2 goals per match over their last 15; Tepelena score 1.9 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gramozi Ersekë | 0.9 | 2.2 | 4 | 4/15 | 8/15 |
| Tepelena | 1.9 | 1.2 | 4 | 8/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Gramozi Ersekë vs Tepelena?
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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