Devolli vs Elbasani: result 2-3 and analysis
2nd Division - Group BRegular Season - 23Kick-off on April 22, 2018 at 02:00 PM (UTC)Fusha Sportive Bilisht, Bilisht
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What was the result of Devolli vs Elbasani?
Elbasani won 2-3 on April 22, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Devolli have 8 wins, 2 draws and 5 defeats; Elbasani have 12, 3 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 15, 2018 | Gramozi Ersekë(away) | 2-3 | 2nd Division - Group B |
| Apr 8, 2018 | Oriku(home) | 0-1 | 2nd Division - Group B |
| Apr 1, 2018 | Këlcyra(away) | 1-1 | 2nd Division - Group B |
| Mar 25, 2018 | Domosdova Prrenjas(home) | 6-1 | 2nd Division - Group B |
| Mar 18, 2018 | Skrapari(away) | 0-1 | 2nd Division - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 15, 2018 | Delvina(away) | 2-1 | 2nd Division - Group B |
| Apr 8, 2018 | Gramozi Ersekë(home) | 1-0 | 2nd Division - Group B |
| Apr 1, 2018 | Oriku(away) | 1-1 | 2nd Division - Group B |
| Mar 25, 2018 | Këlcyra(home) | 3-0 | 2nd Division - Group B |
| Mar 17, 2018 | Domosdova Prrenjas(away) | 4-0 | 2nd Division - Group B |
What does the head-to-head say?
Across the last 1 meetings: 0 Devolli win(s), 1 draw(s), 0 Elbasani win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 26, 2017 | Elbasani 1-1 Devolli | 2nd Division - Group B |
How many goals should we expect?
Devolli score 1.7 and concede 0.9 goals per match over their last 15; Elbasani score 2.3 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Devolli | 1.7 | 0.9 | 5 | 7/15 | 6/15 |
| Elbasani | 2.3 | 0.5 | 8 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Devolli | 20 | 10 | 4 | 6 | 39 | 38 | 34 |
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