Skrapari vs Tepelena: result 1-5 and analysis
2nd Division - Group BRegular Season - 9Kick-off on November 29, 2015 at 01:00 PM (UTC)Fusha Sportive Skrapar, Çorovodë
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What was the result of Skrapari vs Tepelena?
Tepelena won 1-5 on November 29, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skrapari have 1 wins, 2 draws and 12 defeats; Tepelena have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 22, 2015 | Domosdova Prrenjas(away) | 0-7 | 2nd Division - Group B |
| Nov 15, 2015 | Memaliaj(home) | 2-3 | 2nd Division - Group B |
| Nov 8, 2015 | Himara(away) | 0-3 | 2nd Division - Group B |
| Nov 1, 2015 | Përmeti(home) | 2-4 | 2nd Division - Group B |
| Oct 25, 2015 | Gramozi Ersekë(away) | 1-2 | 2nd Division - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 22, 2015 | Delvina(home) | 1-0 | 2nd Division - Group B |
| Nov 15, 2015 | Tomori Berat(away) | 1-3 | 2nd Division - Group B |
| Nov 8, 2015 | Oriku(home) | 1-0 | 2nd Division - Group B |
| Nov 1, 2015 | Bilisht Sporti(away) | 1-3 | 2nd Division - Group B |
| Oct 25, 2015 | Naftëtari Kuçovë(home) | 0-3 | 2nd Division - Group B |
What does the head-to-head say?
Across the last 4 meetings: 0 Skrapari win(s), 1 draw(s), 3 Tepelena win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 20, 2014 | Skrapari 2-4 Tepelena | 2nd Division - Group B |
| 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 1.3 and concede 3.9 goals per match over their last 15; Tepelena score 1.9 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skrapari | 1.3 | 3.9 | 0 | 11/15 | 15/15 |
| Tepelena | 1.9 | 1.7 | 3 | 9/15 | 9/15 |
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