Term vs Gramozi Ersekë: result 0-3 and analysis
2nd Division - Group BGroup B - 19Kick-off on March 31, 2019 at 01:00 PM (UTC)Kompleksi Sportiv i Klubit Olimpik, Tiranë
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What was the result of Term vs Gramozi Ersekë?
Gramozi Ersekë won 0-3 on March 31, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Term have 3 wins, 1 draw and 11 defeats; Gramozi Ersekë have 3, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 24, 2019 | Memaliaj(away) | 0-3 | 2nd Division - Group B |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 24, 2019 | Albpetrol Patos(home) | 2-3 | 2nd Division - Group B |
| Mar 17, 2019 | Skrapari(away) | 0-0 | 2nd Division - Group B |
| Mar 3, 2019 | Delvina(home) | 3-0 | 2nd Division - Group B |
| Feb 24, 2019 | Shkumbini Peqin(away) | 0-3 | 2nd Division - Group B |
| Feb 17, 2019 | Naftëtari Kuçovë(home) | 3-2 | 2nd Division - Group B |
What does the head-to-head say?
In the last meeting: 0 Term wins, 1 draw, 0 Gramozi Ersekë wins.
| Date | Score | Competition |
|---|---|---|
| Oct 28, 2018 | Gramozi Ersekë 1-1 Term | 2nd Division - Group B |
Last archived meeting: Gramozi Ersekë vs Term on Oct 28, 2018
How many goals should we expect?
Term score 1.2 and concede 2.5 goals per match over their last 15; Gramozi Ersekë score 0.9 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Term | 1.2 | 2.5 | 1 | 7/15 | 9/15 |
| Gramozi Ersekë | 0.9 | 2.3 | 2 | 5/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Term vs Gramozi Ersekë?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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