Term vs Delvina: result 0-2 and analysis
2nd Division - Group BGroup B - 14Kick-off on February 17, 2019 at 01:00 PM (UTC)Kompleksi Sportiv i Klubit Olimpik, Tiranë
Full time
What was the result of Term vs Delvina?
Delvina won 0-2 on February 17, 2019.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Term have 3 wins, 2 draws and 8 defeats; Delvina have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 16, 2018 | Shkumbini Peqin(home) | 0-2 | 2nd Division - Group B |
| Dec 9, 2018 | Naftëtari Kuçovë(away) | 1-2 | 2nd Division - Group B |
| Dec 2, 2018 | Këlcyra(home) | 1-2 | 2nd Division - Group B |
| Nov 25, 2018 | Devolli(away) | 0-3 | 2nd Division - Group B |
| Nov 18, 2018 | Përmeti(home) | 1-0 | 2nd Division - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 16, 2018 | Albpetrol Patos(away) | 1-6 | 2nd Division - Group B |
| Dec 9, 2018 | Skrapari(home) | 1-0 | 2nd Division - Group B |
| Dec 2, 2018 | Maliqi(home) | 3-2 | 2nd Division - Group B |
| Nov 25, 2018 | Shkumbini Peqin(away) | 1-6 | 2nd Division - Group B |
| Nov 18, 2018 | Naftëtari Kuçovë(home) | 1-0 | 2nd Division - Group B |
What does the head-to-head say?
Across the last 1 meetings: 1 Term win(s), 0 draw(s), 0 Delvina win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 16, 2018 | Delvina 2-4 Term | 2nd Division - Group B |
How many goals should we expect?
Term score 1.5 and concede 2.4 goals per match over their last 13; Delvina score 1.5 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Term | 1.5 | 2.4 | 1 | 8/13 | 7/13 |
| Delvina | 1.5 | 2.3 | 3 | 9/15 | 8/15 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 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