Delvina vs Oriku: result 0-0 and analysis
2nd Division - Group BRegular Season - 4Kick-off on October 20, 2013 at 12:30 PM (UTC)Fusha Sportive Delvinë, Delvinë
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What was the result of Delvina vs Oriku?
Delvina and Oriku drew 0-0 on October 20, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Delvina have 9 wins, 1 draw and 5 defeats; Oriku have 1, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2013 | Skrapari(away) | 3-1 | 2nd Division - Group B |
| Sep 29, 2013 | Sopoti Librazhd(home) | 1-2 | 2nd Division - Group B |
| Sep 22, 2013 | Këlcyra(home) | 2-1 | 2nd Division - Group B |
| Apr 28, 2013 | Bilisht Sporti(away) | 1-3 | 2nd Division - Group B |
| Apr 21, 2013 | Gramozi Ersekë(home) | 1-0 | 2nd Division - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2013 | Gramshi(home) | 1-1 | 2nd Division - Group B |
| Sep 29, 2013 | Naftëtari Kuçovë(away) | 0-4 | 2nd Division - Group B |
| Sep 22, 2013 | Memaliaj(home) | 3-0 | 2nd Division - Group B |
How many goals should we expect?
Delvina score 1.7 and concede 0.9 goals per match over their last 15; Oriku score 1.3 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Delvina | 1.7 | 0.9 | 7 | 6/15 | 8/15 |
| Oriku | 1.3 | 1.7 | 1 | 1/3 | 2/3 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Delvina sit 6th in 2nd Division - Group B (26 points from 20 matches) and Oriku sit 2nd (51 points from 20 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Oriku | 20 | 16 | 3 | 1 | 37 | 5 | 51 |
| 6 | Delvina | 20 | 7 | 5 | 8 | 32 | 31 | 26 |
A question about Delvina vs Oriku?
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