Match

Tepelena vs Albpetrol Patos: result 0-1 and analysis

2nd Division - Group BRegular Season - 17Kick-off on March 11, 2018 at 01:00 PM (UTC)Stadiumi Sabaudin Shehu, Tepelenë

Tepelena
0-1
Albpetrol Patos

Full time

What was the result of Tepelena vs Albpetrol Patos?

Albpetrol Patos won 0-1 on March 11, 2018.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Tepelena have 4 wins, 1 draws and 10 defeats; Albpetrol Patos have 11, 1 and 3.

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

Tepelena
DateOpponentScoreCompetition
Mar 4, 2018Përmeti(away)1-22nd Division - Group B
Feb 25, 2018Maliqi(home)0-22nd Division - Group B
Feb 18, 2018Memaliaj(away)1-32nd Division - Group B
Feb 11, 2018Delvina(home)2-02nd Division - Group B
Dec 17, 2017Devolli(away)0-12nd Division - Group B
Albpetrol Patos
DateOpponentScoreCompetition
Mar 4, 2018Devolli(home)1-02nd Division - Group B
Feb 25, 2018Elbasani(away)1-32nd Division - Group B
Feb 21, 2018Këlcyra(away)2-02nd Division - Group B
Feb 18, 2018Gramozi Ersekë(home)1-02nd Division - Group B
Feb 11, 2018Oriku(home)0-02nd Division - Group B

What does the head-to-head say?

Across the last 5 meetings: 2 Tepelena win(s), 0 draw(s), 3 Albpetrol Patos win(s).

DateScoreCompetition
Oct 22, 2017Albpetrol Patos 5-0 Tepelena2nd Division - Group B
Mar 3, 2013Albpetrol Patos 3-1 Tepelena2nd Division - Group B
Sep 23, 2012Tepelena 2-1 Albpetrol Patos2nd Division - Group B
Apr 29, 2012Albpetrol Patos 3-0 Tepelena2nd Division - Group B
Nov 27, 2011Tepelena 2-1 Albpetrol Patos2nd Division - Group B

Last archived meeting: Albpetrol Patos vs Tepelena on Oct 22, 2017

How many goals should we expect?

Tepelena score 0.8 and concede 1.6 goals per match over their last 15; Albpetrol Patos score 2.0 and concede 0.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Tepelena0.81.635/156/15
Albpetrol Patos2.00.5103/156/15

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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