Tepelena vs Skrapari: result 1-1 and analysis
2nd Division - Group BRegular Season - 9Kick-off on November 24, 2013 at 01:00 PM (UTC)Stadiumi Sabaudin Shehu, Tepelenë
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What was the result of Tepelena vs Skrapari?
Tepelena and Skrapari drew 1-1 on November 24, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tepelena have 8 wins, 2 draws and 5 defeats; Skrapari have 2, 0 and 13.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 17, 2013 | Sopoti Librazhd(away) | 0-1 | 2nd Division - Group B |
| Nov 10, 2013 | Delvina(home) | 3-1 | 2nd Division - Group B |
| Nov 3, 2013 | Gramshi(away) | 0-2 | 2nd Division - Group B |
| Oct 27, 2013 | Naftëtari Kuçovë(home) | 1-1 | 2nd Division - Group B |
| Oct 20, 2013 | Memaliaj(away) | 3-0 | 2nd Division - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 17, 2013 | Përmeti(home) | 1-0 | 2nd Division - Group B |
| Nov 10, 2013 | Gramozi Ersekë(away) | 1-2 | 2nd Division - Group B |
| Nov 3, 2013 | Oriku(home) | 1-2 | 2nd Division - Group B |
| Oct 27, 2013 | Këlcyra(home) | 1-3 | 2nd Division - Group B |
| Oct 20, 2013 | Sopoti Librazhd(away) | 0-2 | 2nd Division - Group B |
What does the head-to-head say?
Across the last 2 meetings: 2 Tepelena wins, 0 draws, 0 Skrapari wins.
| Date | Score | Competition |
|---|---|---|
| Apr 14, 2013 | Skrapari 1-3 Tepelena | 2nd Division - Group B |
| Nov 4, 2012 | Tepelena 3-0 Skrapari | 2nd Division - Group B |
How many goals should we expect?
Tepelena score 1.6 and concede 1.2 goals per match over their last 15; Skrapari score 0.6 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tepelena | 1.6 | 1.2 | 4 | 7/15 | 8/15 |
| Skrapari | 0.6 | 2.5 | 2 | 7/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Tepelena 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