Himara vs Tepelena: result 0-2 and analysis
2nd Division - Group BRegular Season - 11Kick-off on December 13, 2015 at 01:00 PM (UTC)Stadiumi Petro Ruci, Himarë
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What was the result of Himara vs Tepelena?
Tepelena won 0-2 on December 13, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Himara have 1 win, 0 draws and 14 defeats; Tepelena have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 6, 2015 | Domosdova Prrenjas(away) | 0-3 | 2nd Division - Group B |
| Nov 29, 2015 | Memaliaj(home) | 1-2 | 2nd Division - Group B |
| Nov 22, 2015 | Gramozi Ersekë(away) | 2-4 | 2nd Division - Group B |
| Nov 15, 2015 | Përmeti(away) | 0-3 | 2nd Division - Group B |
| Nov 8, 2015 | Skrapari(home) | 3-0 | 2nd Division - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 6, 2015 | Përmeti(home) | 2-2 | 2nd Division - Group B |
| Nov 29, 2015 | Skrapari(away) | 5-1 | 2nd Division - Group B |
| 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 |
What does the head-to-head say?
Across the last 2 meetings: 0 Himara wins, 0 draws, 2 Tepelena wins.
| Date | Score | Competition |
|---|---|---|
| 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?
Himara score 0.9 and concede 2.7 goals per match over their last 15; Tepelena score 2.0 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Himara | 0.9 | 2.7 | 1 | 8/15 | 14/15 |
| Tepelena | 2.0 | 1.6 | 3 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Himara vs Tepelena?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy