Kukësi II vs Albpetrol Patos: result 1-3 and analysis
2nd Division - Group ARegular Season - 21Kick-off on April 8, 2017 at 12:00 PM (UTC)Stadiumi Zeqir Ymeri
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What was the result of Kukësi II vs Albpetrol Patos?
Albpetrol Patos won 1-3 on April 8, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kukësi II have 7 wins, 2 draws and 6 defeats; Albpetrol Patos have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 2, 2017 | Vora(away) | 2-4 | 2nd Division - Group A |
| Mar 19, 2017 | Veleçiku Koplik(home) | 1-0 | 2nd Division - Group A |
| Mar 12, 2017 | Partizani Tirana II(away) | 0-3 | 2nd Division - Group A |
| Feb 27, 2017 | Ada Velipojë(home) | 5-1 | 2nd Division - Group A |
| Feb 18, 2017 | Tirana II(away) | 3-0 | 2nd Division - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 2, 2017 | Ada Velipojë(home) | 4-0 | 2nd Division - Group A |
| Mar 19, 2017 | Tirana II(away) | 1-1 | 2nd Division - Group A |
| Mar 12, 2017 | Egnatia Rrogozhinë(home) | 1-1 | 2nd Division - Group A |
| Mar 5, 2017 | Gramshi(away) | 2-1 | 2nd Division - Group A |
| Feb 26, 2017 | Internacional Tirana(home) | 2-1 | 2nd Division - Group A |
What does the head-to-head say?
Across the last 1 meetings: 0 Kukësi II win(s), 0 draw(s), 1 Albpetrol Patos win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 23, 2016 | Albpetrol Patos 1-0 Kukësi II | 2nd Division - Group A |
Last archived meeting: Albpetrol Patos vs Kukësi II on Nov 23, 2016
How many goals should we expect?
Kukësi II score 1.9 and concede 1.3 goals per match over their last 15; Albpetrol Patos score 1.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kukësi II | 1.9 | 1.3 | 3 | 8/15 | 9/15 |
| Albpetrol Patos | 1.1 | 0.9 | 5 | 7/15 | 5/15 |
Over the last 15 matches in all competitions.
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