Devolli vs Memaliaj: result 4-0 and analysis
2nd Division - Group BRegular Season - 5Kick-off on November 6, 2016 at 01:00 PM (UTC)Fusha Sportive Bilisht, Bilisht
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What was the result of Devolli vs Memaliaj?
Devolli won 4-0 on November 6, 2016.
What is the recent form of both teams?
Over their last 4 matches in all competitions, Devolli have 2 wins, 0 draws and 2 defeats; Memaliaj have 7, 0 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Oct 12, 2016 | Domosdova Prrenjas(home) | 4-1 | 2nd Division - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2016 | Këlcyra(home) | 4-0 | 2nd Division - Group B |
| Oct 16, 2016 | Skrapari(away) | 1-2 | 2nd Division - Group B |
| Oct 12, 2016 | Maliqi(home) | 3-2 | 2nd Division - Group B |
| May 8, 2016 | Domosdova Prrenjas(away) | 0-2 | 2nd Division - Group B |
| May 1, 2016 | Gramozi Ersekë(home) | 4-2 | 2nd Division - Group B |
How many goals should we expect?
Devolli score 2.0 and concede 1.8 goals per match over their last 4; Memaliaj score 1.7 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Devolli | 2.0 | 1.8 | 0 | 2/4 | 2/4 |
| Memaliaj | 1.7 | 1.5 | 4 | 5/15 | 8/15 |
Over the last 4 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 Memaliaj sit 11th (4 points from 20 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Devolli | 20 | 10 | 4 | 6 | 39 | 38 | 34 |
| 11 | Memaliaj | 20 | 1 | 1 | 18 | 15 | 79 | 4 |
A question about Devolli vs Memaliaj?
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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