Gramshi vs Tepelena: result 4-1 and analysis
2nd Division - Group BRegular Season - 16Kick-off on March 22, 2015 at 03:00 PM (UTC)Fusha Sportive Gramshi, Gramsh
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What was the result of Gramshi vs Tepelena?
Gramshi won 4-1 on March 22, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gramshi have 12 wins, 3 draws and 0 defeats; Tepelena have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 15, 2015 | Turbina Cërrik(away) | 1-0 | 2nd Division - Group B |
| Mar 8, 2015 | Egnatia Rrogozhinë(home) | 2-1 | 2nd Division - Group B |
| Mar 1, 2015 | Këlcyra(away) | 2-0 | 2nd Division - Group B |
| Feb 22, 2015 | Delvina(away) | 3-2 | 2nd Division - Group B |
| Dec 21, 2014 | Gramozi Ersekë(away) | 4-1 | 2nd Division - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 15, 2015 | Gramozi Ersekë(home) | 4-1 | 2nd Division - Group B |
| Mar 8, 2015 | Bilisht Sporti(away) | 0-1 | 2nd Division - Group B |
| Mar 1, 2015 | Oriku(home) | 1-0 | 2nd Division - Group B |
| Feb 25, 2015 | Përmeti(away) | 0-4 | 2nd Division - Group B |
| Dec 21, 2014 | Memaliaj(away) | 1-1 | 2nd Division - Group B |
What does the head-to-head say?
Across the last 3 meetings: 2 Gramshi win(s), 1 draw(s), 0 Tepelena win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 2, 2014 | Tepelena 0-0 Gramshi | 2nd Division - Group B |
| Mar 30, 2014 | Tepelena 3-4 Gramshi | 2nd Division - Group B |
| Nov 3, 2013 | Gramshi 2-0 Tepelena | 2nd Division - Group B |
How many goals should we expect?
Gramshi score 2.3 and concede 0.7 goals per match over their last 15; Tepelena score 1.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gramshi | 2.3 | 0.7 | 7 | 8/15 | 8/15 |
| Tepelena | 1.7 | 1.3 | 4 | 9/15 | 7/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy