Term vs Devolli: result 0-3 and analysis
2nd Division - Group BGroup B - 23Kick-off on April 28, 2019 at 02:00 PM (UTC)Kompleksi Sportiv i Klubit Olimpik, Tiranë
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What was the result of Term vs Devolli?
Devolli won 0-3 on April 28, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Term have 2 wins, 0 draws and 13 defeats; Devolli have 14, 1 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2019 | Përmeti(away) | 0-3 | 2nd Division - Group B |
| Apr 14, 2019 | Butrinti Sarandë(home) | 0-3 | 2nd Division - Group B |
| Apr 7, 2019 | Tepelena(away) | 0-3 | 2nd Division - Group B |
| Mar 31, 2019 | Gramozi Ersekë(home) | 0-3 | 2nd Division - Group B |
| Mar 24, 2019 | Memaliaj(away) | 0-3 | 2nd Division - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2019 | Albpetrol Patos(home) | 1-0 | 2nd Division - Group B |
| Apr 14, 2019 | Skrapari(away) | 1-0 | 2nd Division - Group B |
| Apr 7, 2019 | Delvina(home) | 4-2 | 2nd Division - Group B |
| Mar 31, 2019 | Shkumbini Peqin(away) | 1-1 | 2nd Division - Group B |
| Mar 24, 2019 | Naftëtari Kuçovë(home) | 2-0 | 2nd Division - Group B |
What does the head-to-head say?
Across the last 1 meetings: 0 Term win(s), 0 draw(s), 1 Devolli win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 25, 2018 | Devolli 3-0 Term | 2nd Division - Group B |
How many goals should we expect?
Term score 0.6 and concede 2.7 goals per match over their last 15; Devolli score 2.3 and concede 0.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Term | 0.6 | 2.7 | 1 | 4/15 | 11/15 |
| Devolli | 2.3 | 0.4 | 11 | 4/15 | 5/15 |
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