Tepelena vs Skrapari: prediction and stats
2nd Division - Group BRegular Season - 20Kick-off on April 24, 2016 at 02:00 PM (UTC)Stadiumi Sabaudin Shehu, Tepelenë
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What is the recent form of both teams?
Over their last 15 matches in all competitions, Tepelena have 7 wins, 1 draws and 7 defeats; Skrapari have 5, 0 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 17, 2016 | Delvina(away) | 1-2 | 2nd Division - Group B |
| Apr 10, 2016 | Tomori Berat(home) | 0-1 | 2nd Division - Group B |
| Apr 3, 2016 | Oriku(away) | 1-0 | 2nd Division - Group B |
| Mar 20, 2016 | Bilisht Sporti(home) | 2-1 | 2nd Division - Group B |
| Mar 13, 2016 | Naftëtari Kuçovë(away) | 1-2 | 2nd Division - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 17, 2016 | Domosdova Prrenjas(home) | 2-3 | 2nd Division - Group B |
| Apr 10, 2016 | Memaliaj(away) | 4-3 | 2nd Division - Group B |
| Apr 3, 2016 | Himara(home) | 6-0 | 2nd Division - Group B |
| Mar 20, 2016 | Përmeti(away) | 1-3 | 2nd Division - Group B |
| Mar 13, 2016 | Gramozi Ersekë(home) | 3-0 | 2nd Division - Group B |
What does the head-to-head say?
Across the last 5 meetings: 4 Tepelena win(s), 1 draw(s), 0 Skrapari win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 29, 2015 | Skrapari 1-5 Tepelena | 2nd Division - Group B |
| 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?
Tepelena score 1.5 and concede 1.3 goals per match over their last 15; Skrapari score 1.9 and concede 2.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tepelena | 1.5 | 1.3 | 4 | 9/15 | 9/15 |
| Skrapari | 1.9 | 2.9 | 3 | 9/15 | 13/15 |
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