Devolli vs Oriku: result 2-3 and analysis
2nd Division - Group BRegular Season - 8Kick-off on November 23, 2016 at 01:00 PM (UTC)Fusha Sportive Bilisht, Bilisht
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What was the result of Devolli vs Oriku?
Oriku won 2-3 on November 23, 2016.
What is the recent form of both teams?
Over their last 6 matches in all competitions, Devolli have 3 wins, 0 draws and 3 defeats; Oriku have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 13, 2016 | Këlcyra(away) | 1-3 | 2nd Division - Group B |
| Nov 6, 2016 | Memaliaj(home) | 4-0 | 2nd Division - Group B |
| Oct 30, 2016 | Skrapari(away) | 4-2 | 2nd Division - Group B |
| Oct 23, 2016 | Maliqi(home) | 0-2 | 2nd Division - Group B |
| Oct 16, 2016 | Tepelena(away) | 0-2 | 2nd Division - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 20, 2016 | Këlcyra(home) | 3-0 | 2nd Division - Group B |
| Nov 13, 2016 | Memaliaj(away) | 1-0 | 2nd Division - Group B |
| Nov 6, 2016 | Skrapari(home) | 4-1 | 2nd Division - Group B |
| Oct 30, 2016 | Maliqi(away) | 1-1 | 2nd Division - Group B |
| Oct 23, 2016 | Tepelena(home) | 1-0 | 2nd Division - Group B |
How many goals should we expect?
Devolli score 2.2 and concede 1.7 goals per match over their last 6; Oriku score 1.7 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Devolli | 2.2 | 1.7 | 1 | 3/6 | 4/6 |
| Oriku | 1.7 | 0.7 | 8 | 4/15 | 6/15 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
Devolli sit 4th in 2nd Division - Group B (34 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 |
| 4 | Devolli | 20 | 10 | 4 | 6 | 39 | 38 | 34 |
A question about Devolli 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