Match

Albpetrol Patos vs Partizani Tirana II: result 1-2 and analysis

2nd Division - Group ARegular Season - 20Kick-off on April 24, 2016 at 02:00 PM (UTC)Stadiumi Alush Noga, Patos

Albpetrol Patos
1-2
Partizani Tirana II

Full time

What was the result of Albpetrol Patos vs Partizani Tirana II?

Partizani Tirana II won 1-2 on April 24, 2016.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Albpetrol Patos have 7 wins, 4 draws and 4 defeats; Partizani Tirana II have 9, 5 and 1.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Albpetrol Patos
DateOpponentScoreCompetition
Apr 17, 2016Shënkolli(away)0-32nd Division - Group A
Apr 10, 2016Egnatia Rrogozhinë(home)1-02nd Division - Group A
Apr 3, 2016Gramshi(away)1-12nd Division - Group A
Mar 20, 2016Luzi 2008(away)2-12nd Division - Group A
Mar 13, 2016Vora(home)2-32nd Division - Group A
Partizani Tirana II
DateOpponentScoreCompetition
Apr 17, 2016Vora(home)2-12nd Division - Group A
Apr 10, 2016Internacional Tirana(away)4-22nd Division - Group A
Apr 3, 2016Veleçiku Koplik(home)3-02nd Division - Group A
Mar 20, 2016Sukthi(away)0-02nd Division - Group A
Mar 13, 2016Tirana II(home)2-02nd Division - Group A

What does the head-to-head say?

Across the last 3 meetings: 0 Albpetrol Patos win(s), 0 draw(s), 3 Partizani Tirana II win(s).

DateScoreCompetition
Dec 3, 2015Partizani Tirana II 1-0 Albpetrol Patos2nd Division - Group A
Mar 9, 2015Partizani Tirana II 2-1 Albpetrol Patos2nd Division - Group A
Oct 19, 2014Albpetrol Patos 0-2 Partizani Tirana II2nd Division - Group A

Last archived meeting: Partizani Tirana II vs Albpetrol Patos on Dec 3, 2015

How many goals should we expect?

Albpetrol Patos score 1.3 and concede 0.9 goals per match over their last 15; Partizani Tirana II score 2.0 and concede 0.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Albpetrol Patos1.30.957/155/15
Partizani Tirana II2.00.8510/158/15

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

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