Devolli vs Delvina: result 2-1 and analysis
2nd Division - Group BRegular Season - 10Kick-off on December 4, 2016 at 01:00 PM (UTC)Fusha Sportive Bilisht, Bilisht
Full time
What was the result of Devolli vs Delvina?
Devolli won 2-1 on December 4, 2016.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Devolli have 4 wins, 0 draws and 4 defeats; Delvina have 11, 0 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 27, 2016 | Gramozi Ersekë(away) | 2-0 | 2nd Division - Group B |
| Nov 23, 2016 | Oriku(home) | 2-3 | 2nd Division - Group B |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 27, 2016 | Këlcyra(home) | 4-1 | 2nd Division - Group B |
| Nov 23, 2016 | Memaliaj(away) | 4-1 | 2nd Division - Group B |
| Nov 20, 2016 | Skrapari(home) | 2-0 | 2nd Division - Group B |
| Nov 13, 2016 | Maliqi(away) | 1-3 | 2nd Division - Group B |
| Nov 6, 2016 | Tepelena(home) | 3-0 | 2nd Division - Group B |
How many goals should we expect?
Devolli score 2.1 and concede 1.6 goals per match over their last 8; Delvina score 2.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Devolli | 2.1 | 1.6 | 2 | 4/8 | 5/8 |
| Delvina | 2.1 | 1.3 | 4 | 9/15 | 10/15 |
Over the last 8 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 Delvina sit 6th (26 points from 20 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Devolli | 20 | 10 | 4 | 6 | 39 | 38 | 34 |
| 6 | Delvina | 20 | 7 | 5 | 8 | 32 | 31 | 26 |
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