Tepelena vs Gramshi: result 0-0 and analysis
2nd Division - Group BRegular Season - 5Kick-off on November 2, 2014 at 01:00 PM (UTC)Stadiumi Sabaudin Shehu, Tepelenë
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What was the result of Tepelena vs Gramshi?
Tepelena and Gramshi drew 0-0 on November 2, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tepelena have 4 wins, 4 draws and 7 defeats; Gramshi have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 26, 2014 | Gramozi Ersekë(away) | 3-3 | 2nd Division - Group B |
| Oct 19, 2014 | Bilisht Sporti(home) | 1-1 | 2nd Division - Group B |
| Oct 5, 2014 | Oriku(away) | 2-3 | 2nd Division - Group B |
| Sep 28, 2014 | Përmeti(home) | 4-3 | 2nd Division - Group B |
| May 4, 2014 | Gramozi Ersekë(away) | 2-3 | 2nd Division - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 26, 2014 | Turbina Cërrik(home) | 1-1 | 2nd Division - Group B |
| Oct 19, 2014 | Egnatia Rrogozhinë(away) | 3-0 | 2nd Division - Group B |
| Oct 5, 2014 | Këlcyra(home) | 5-0 | 2nd Division - Group B |
| Sep 28, 2014 | Delvina(home) | 1-0 | 2nd Division - Group B |
| May 4, 2014 | Delvina(away) | 1-4 | 2nd Division - Group B |
What does the head-to-head say?
Across the last 2 meetings: 0 Tepelena wins, 0 draws, 2 Gramshi wins.
| Date | Score | Competition |
|---|---|---|
| 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?
Tepelena score 2.1 and concede 2.1 goals per match over their last 15; Gramshi score 2.0 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tepelena | 2.1 | 2.1 | 1 | 13/15 | 12/15 |
| Gramshi | 2.0 | 1.3 | 3 | 10/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Tepelena vs Gramshi?
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