Match

Albpetrol Patos vs Kamza: result 1-0 and analysis

1st DivisionRegular Season - 8Kick-off on October 26, 2013 at 12:30 PM (UTC)Stadiumi Alush Noga, Patos

Albpetrol Patos
1-0
Kamza

Full time

What was the result of Albpetrol Patos vs Kamza?

Albpetrol Patos won 1-0 on October 26, 2013.

Goalscorers

  • 36′L. TaullahuAlbpetrol Patos

Official lineup for Albpetrol Patos vs Kamza

The starting elevens fielded at kick-off.

Albpetrol Patos

  1. MM. Hasa
  1. EEljon Bratja
  2. LL. Taullahu
  3. RR. Hatia
  4. JJurgen Hidersha
  5. SSamet Gjoka
  1. SSaimir Zharkalliu
  2. LL. Ruço
  3. AA. Xhibro
  4. DDalip Çemeri
  1. MM. Kaloshi

Kamza

  1. AAlbion Blloku
  2. XX. Mehmeti
  1. SSajmir Gjokeja
  2. EE. Pustina
  3. AA. Koçi
  4. GG. Keta
  5. RRezart Maho
  1. AAlban Muça
  2. KK. Liçaj
  3. AAlvi Gjonaj
  1. OO. Hoxha
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Albpetrol Patos have 7 wins, 5 draws and 3 defeats; Kamza have 9, 2 and 4.

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

Albpetrol Patos
DateOpponentScoreCompetition
Oct 20, 2013Apolonia Fier(away)1-21st Division
Oct 6, 2013Pogradeci(home)0-11st Division
Sep 28, 2013Mamurrasi(away)1-11st Division
Sep 21, 2013Himara(home)0-01st Division
Sep 14, 2013Dinamo Tirana(home)1-11st Division
Kamza
DateOpponentScoreCompetition
Oct 19, 2013Veleçiku Koplik(home)2-01st Division
Oct 12, 2013Luftetari Gjirokaster(home)2-01st Division
Oct 5, 2013Butrinti Sarandë(away)0-31st Division
Sep 28, 2013Tomori Berat(home)0-11st Division
Sep 21, 2013Burreli(away)0-01st Division

How many goals should we expect?

Albpetrol Patos score 1.5 and concede 0.7 goals per match over their last 15; Kamza score 1.5 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Albpetrol Patos1.50.758/156/15
Kamza1.51.357/158/15

Over the last 15 matches in all competitions.

A question about Albpetrol Patos vs Kamza?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.

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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