Memaliaj vs Term: result 3-0 and analysis
2nd Division - Group BGroup B - 18Kick-off on March 24, 2019 at 02:00 PM (UTC)Stadiumi Karafil Çaushi, Memaliaj
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What was the result of Memaliaj vs Term?
Memaliaj won 3-0 on March 24, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Memaliaj have 6 wins, 1 draws and 8 defeats; Term have 3, 1 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 17, 2019 | Albpetrol Patos(away) | 1-3 | 2nd Division - Group B |
| Mar 2, 2019 | Skrapari(home) | 2-0 | 2nd Division - Group B |
| Feb 24, 2019 | Delvina(away) | 1-2 | 2nd Division - Group B |
| Feb 17, 2019 | Shkumbini Peqin(home) | 1-2 | 2nd Division - Group B |
| Dec 16, 2018 | Naftëtari Kuçovë(home) | 1-0 | 2nd Division - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 17, 2019 | Maliqi(home) | 0-3 | 2nd Division - Group B |
| Mar 3, 2019 | Albpetrol Patos(home) | 4-3 | 2nd Division - Group B |
| Feb 23, 2019 | Skrapari(away) | 0-1 | 2nd Division - Group B |
| Feb 17, 2019 | Delvina(home) | 0-2 | 2nd Division - Group B |
| Dec 16, 2018 | Shkumbini Peqin(home) | 0-2 | 2nd Division - Group B |
What does the head-to-head say?
Across the last 1 meetings: 1 Memaliaj win(s), 0 draw(s), 0 Term win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 20, 2018 | Term 2-5 Memaliaj | 2nd Division - Group B |
How many goals should we expect?
Memaliaj score 1.7 and concede 1.7 goals per match over their last 15; Term score 1.2 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Memaliaj | 1.7 | 1.7 | 4 | 9/15 | 10/15 |
| Term | 1.2 | 2.5 | 1 | 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 |
|---|---|---|---|---|---|---|---|---|
| 11 | Memaliaj | 20 | 1 | 1 | 18 | 15 | 79 | 4 |
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