Oriku vs Tepelena: result 0-1 and analysis
2nd Division - Group BRegular Season - 10Kick-off on December 1, 2013 at 12:30 PM (UTC)Kompleksi Stërvitor i Ekipeve Kombëtare, Kamëz
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What was the result of Oriku vs Tepelena?
Tepelena won 0-1 on December 1, 2013.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Oriku have 4 wins, 2 draws and 3 defeats; Tepelena have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 24, 2013 | Përmeti(away) | 0-1 | 2nd Division - Group B |
| Nov 17, 2013 | Gramozi Ersekë(home) | 6-0 | 2nd Division - Group B |
| Nov 10, 2013 | Këlcyra(home) | 2-1 | 2nd Division - Group B |
| Nov 3, 2013 | Skrapari(away) | 2-1 | 2nd Division - Group B |
| Oct 27, 2013 | Sopoti Librazhd(home) | 0-2 | 2nd Division - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 24, 2013 | Skrapari(home) | 1-1 | 2nd Division - Group B |
| Nov 17, 2013 | Sopoti Librazhd(away) | 0-1 | 2nd Division - Group B |
| Nov 10, 2013 | Delvina(home) | 3-1 | 2nd Division - Group B |
| Nov 3, 2013 | Gramshi(away) | 0-2 | 2nd Division - Group B |
| Oct 27, 2013 | Naftëtari Kuçovë(home) | 1-1 | 2nd Division - Group B |
How many goals should we expect?
Oriku score 1.6 and concede 1.1 goals per match over their last 9; Tepelena score 1.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Oriku | 1.6 | 1.1 | 3 | 3/9 | 5/9 |
| Tepelena | 1.7 | 1.1 | 4 | 8/15 | 7/15 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Oriku | 20 | 16 | 3 | 1 | 37 | 5 | 51 |
A question about Oriku 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