Match

Albpetrol Patos vs Maliqi: result 2-1 and analysis

2nd Division - Group BGroup B - 15Kick-off on February 24, 2019 at 01:00 PM (UTC)Stadiumi Alush Noga, Patos

Albpetrol Patos
2-1
Maliqi

Full time

What was the result of Albpetrol Patos vs Maliqi?

Albpetrol Patos won 2-1 on February 24, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Albpetrol Patos have 9 wins, 1 draws and 5 defeats; Maliqi have 11, 1 and 3.

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

Albpetrol Patos
DateOpponentScoreCompetition
Feb 17, 2019Skrapari(home)3-02nd Division - Group B
Dec 16, 2018Delvina(home)6-12nd Division - Group B
Dec 9, 2018Shkumbini Peqin(away)0-02nd Division - Group B
Dec 2, 2018Naftëtari Kuçovë(home)3-02nd Division - Group B
Nov 25, 2018Këlcyra(away)0-12nd Division - Group B
Maliqi
DateOpponentScoreCompetition
Feb 17, 2019Përmeti(home)4-02nd Division - Group B
Dec 16, 2018Skrapari(away)2-12nd Division - Group B
Dec 9, 2018Butrinti Sarandë(home)5-32nd Division - Group B
Dec 2, 2018Delvina(away)2-32nd Division - Group B
Nov 25, 2018Tepelena(home)1-02nd Division - Group B

What does the head-to-head say?

Across the last 3 meetings: 2 Albpetrol Patos win(s), 0 draw(s), 1 Maliqi win(s).

DateScoreCompetition
Sep 23, 2018Maliqi 1-0 Albpetrol Patos2nd Division - Group B
Mar 25, 2018Maliqi 0-3 Albpetrol Patos2nd Division - Group B
Nov 5, 2017Albpetrol Patos 2-0 Maliqi2nd Division - Group B

Last archived meeting: Maliqi vs Albpetrol Patos on Sep 23, 2018

How many goals should we expect?

Albpetrol Patos score 1.8 and concede 0.9 goals per match over their last 15; Maliqi score 2.2 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Albpetrol Patos1.80.965/158/15
Maliqi2.21.176/1510/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2024-25 standings
#ClubPWDLGFGAPts
8Maliqi206212273820

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

Other matches in the same round

Ready to know everything about football?