Match

Delvina vs Albpetrol Patos: result 2-3 and analysis

2nd Division - Group BMatchday 4Kick-off on October 14, 2012 at 12:30 PM (UTC)Fusha Sportive Delvinë, Delvinë

Delvina
2-3
Albpetrol Patos

Full time

What was the result of Delvina vs Albpetrol Patos?

Albpetrol Patos won 2-3 on October 14, 2012.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Delvina have 7 wins, 1 draw and 7 defeats; Albpetrol Patos have 7, 4 and 4.

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

Delvina
DateOpponentScoreCompetition
Oct 7, 2012Tepelena(away)0-12nd Division - Group B
Sep 30, 2012Përmeti(home)3-02nd Division - Group B
Sep 23, 2012Skrapari(away)8-22nd Division - Group B
May 13, 2012Albpetrol Patos(away)0-02nd Division - Group B
May 6, 2012Bilisht Sporti(home)3-02nd Division - Group B
Albpetrol Patos
DateOpponentScoreCompetition
Oct 7, 2012Sopoti Librazhd(home)3-02nd Division - Group B
Sep 30, 2012Memaliaj(away)2-12nd Division - Group B
Sep 23, 2012Tepelena(away)1-22nd Division - Group B
May 13, 2012Delvina(home)0-02nd Division - Group B
May 6, 2012Domosdova Prrenjas(away)0-12nd Division - Group B

What does the head-to-head say?

Across the last 2 meetings: 0 Delvina wins, 1 draw, 1 Albpetrol Patos win.

DateScoreCompetition
May 13, 2012Albpetrol Patos 0-0 Delvina2nd Division - Group B
Dec 19, 2011Delvina 1-2 Albpetrol Patos2nd Division - Group B

Last archived meeting: Albpetrol Patos vs Delvina on May 13, 2012

How many goals should we expect?

Delvina score 2.0 and concede 1.5 goals per match over their last 15; Albpetrol Patos score 1.3 and concede 0.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Delvina2.01.556/1510/15
Albpetrol Patos1.30.866/157/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2024-25 standings
#ClubPWDLGFGAPts
6Delvina20758323126

A question about Delvina vs Albpetrol Patos?

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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

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