Term vs Albpetrol Patos: result 4-3 and analysis
2nd Division - Group BGroup B - 16Kick-off on March 3, 2019 at 02:00 PM (UTC)Kompleksi Sportiv i Klubit Olimpik, Tiranë
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What was the result of Term vs Albpetrol Patos?
Term won 4-3 on March 3, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Term have 3 wins, 2 draws and 10 defeats; Albpetrol Patos have 10, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Dec 9, 2018 | Naftëtari Kuçovë(away) | 1-2 | 2nd Division - Group B |
| Dec 2, 2018 | Këlcyra(home) | 1-2 | 2nd Division - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 24, 2019 | Maliqi(home) | 2-1 | 2nd Division - Group B |
| Feb 17, 2019 | Skrapari(home) | 3-0 | 2nd Division - Group B |
| Dec 16, 2018 | Delvina(home) | 6-1 | 2nd Division - Group B |
| Dec 9, 2018 | Shkumbini Peqin(away) | 0-0 | 2nd Division - Group B |
| Dec 2, 2018 | Naftëtari Kuçovë(home) | 3-0 | 2nd Division - Group B |
What does the head-to-head say?
In the last meeting: 0 Term wins, 0 draws, 1 Albpetrol Patos win.
| Date | Score | Competition |
|---|---|---|
| Sep 30, 2018 | Albpetrol Patos 2-0 Term | 2nd Division - Group B |
Last archived meeting: Albpetrol Patos vs Term on Sep 30, 2018
How many goals should we expect?
Term score 1.3 and concede 2.3 goals per match over their last 15; Albpetrol Patos score 1.9 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Term | 1.3 | 2.3 | 1 | 8/15 | 7/15 |
| Albpetrol Patos | 1.9 | 0.8 | 6 | 6/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Term vs Albpetrol Patos?
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