Tepelena vs Himara: result 6-2 and analysis
2nd Division - Group BRegular Season - 22Kick-off on May 8, 2016 at 03:00 PM (UTC)Stadiumi Sabaudin Shehu, Tepelenë
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What was the result of Tepelena vs Himara?
Tepelena won 6-2 on May 8, 2016.
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; Himara 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 |
|---|---|---|---|
| May 1, 2016 | Përmeti(away) | 0-3 | 2nd Division - Group B |
| Apr 24, 2016 | Skrapari(home) | 20-0 | 2nd Division - Group B |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 1, 2016 | Domosdova Prrenjas(home) | 2-5 | 2nd Division - Group B |
| Apr 24, 2016 | Memaliaj(away) | 2-5 | 2nd Division - Group B |
| Apr 17, 2016 | Gramozi Ersekë(home) | 0-2 | 2nd Division - Group B |
| Apr 10, 2016 | Përmeti(home) | 2-1 | 2nd Division - Group B |
| Apr 3, 2016 | Skrapari(away) | 0-6 | 2nd Division - Group B |
What does the head-to-head say?
Across the last 3 meetings: 3 Tepelena win(s), 0 draw(s), 0 Himara win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 13, 2015 | Himara 0-2 Tepelena | 2nd Division - Group B |
| May 3, 2015 | Himara 2-5 Tepelena | 2nd Division - Group B |
| Dec 14, 2014 | Tepelena 1-0 Himara | 2nd Division - Group B |
How many goals should we expect?
Tepelena score 2.7 and concede 1.3 goals per match over their last 15; Himara score 0.9 and concede 3.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tepelena | 2.7 | 1.3 | 4 | 8/15 | 10/15 |
| Himara | 0.9 | 3.1 | 0 | 7/15 | 12/15 |
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