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 win(s), 0 draw(s), 0 Skrapari win(s).
| 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.
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