Skrapari vs Tepelena: result 2-4 and analysis
2nd Division - Group BRegular Season - 20Kick-off on April 20, 2014 at 02:00 PM (UTC)Fusha Sportive Skrapar, Çorovodë
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What was the result of Skrapari vs Tepelena?
Tepelena won 2-4 on April 20, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skrapari have 1 wins, 3 draws and 11 defeats; Tepelena have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2014 | Përmeti(away) | 0-1 | 2nd Division - Group B |
| Apr 6, 2014 | Gramozi Ersekë(home) | 1-1 | 2nd Division - Group B |
| Mar 30, 2014 | Oriku(away) | 0-5 | 2nd Division - Group B |
| Mar 23, 2014 | Këlcyra(away) | 1-2 | 2nd Division - Group B |
| Mar 16, 2014 | Sopoti Librazhd(home) | 1-1 | 2nd Division - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2014 | Sopoti Librazhd(home) | 2-3 | 2nd Division - Group B |
| Apr 6, 2014 | Delvina(away) | 1-1 | 2nd Division - Group B |
| Mar 30, 2014 | Gramshi(home) | 3-4 | 2nd Division - Group B |
| Mar 23, 2014 | Naftëtari Kuçovë(away) | 0-3 | 2nd Division - Group B |
| Mar 16, 2014 | Memaliaj(home) | 1-2 | 2nd Division - Group B |
What does the head-to-head say?
Across the last 3 meetings: 0 Skrapari win(s), 1 draw(s), 2 Tepelena win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 24, 2013 | Tepelena 1-1 Skrapari | 2nd Division - Group B |
| 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?
Skrapari score 0.8 and concede 2.1 goals per match over their last 15; Tepelena score 1.5 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skrapari | 0.8 | 2.1 | 1 | 10/15 | 8/15 |
| Tepelena | 1.5 | 1.5 | 3 | 9/15 | 8/15 |
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