Match

Kamza vs Tomori Berat: result 2-1 and analysis

SuperligaRegular Season - 6Kick-off on October 22, 2011 at 12:00 PM (UTC)Stadiumi Kamza, Kamëz

Kamza
2-1
Tomori Berat

Full time

What was the result of Kamza vs Tomori Berat?

Kamza won 2-1 on October 22, 2011.

Goalscorers

  • 5′Eleandro PemaKamza
  • 11′Henri NdrekaKamza
  • 20′Klevis RoshiTomori Berat (pen.)

Official lineup for Kamza vs Tomori Berat

The starting elevens fielded at kick-off.

Kamza

  1. JJanuary Ziambo
  1. SSokol Ishka
  2. AArtan Karapici
  3. GG. Manuka
  4. EEleandro Pema
  1. HHenri Ndreka
  2. AArdit Beqiri
  3. RR. Hallaçi
  4. FFatjon Tafaj
  5. MMarjan Belchev
  1. MMario Bytyçi

Tomori Berat

  1. KKlodian Arbri
  2. VVangjel Mile
  1. BBledar Hodo
  2. KKlevis Roshi
  3. EEndri Bakiu
  1. VViktor Gjyla
  2. EE. Kaja
  3. AAlban Muça
  4. EEmiliano Çela
  5. JJetmir Nina
  1. EErvin Llani
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What is the recent form of both teams?

Over their last 5 matches in all competitions, Kamza have 1 win, 1 draw and 3 defeats; Tomori Berat have 1, 1 and 3.

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

Kamza
DateOpponentScoreCompetition
Oct 15, 2011Skenderbeu Korce(away)0-0Superliga
Oct 1, 2011Apolonia Fier(home)0-1Superliga
Sep 25, 2011Bylis(away)1-2Superliga
Sep 16, 2011Vllaznia Shkodër(home)1-0Superliga
Sep 11, 2011Flamurtari(away)1-2Superliga
Tomori Berat
DateOpponentScoreCompetition
Oct 14, 2011Laci(home)0-1Superliga
Oct 1, 2011Shkumbini Peqin(away)2-6Superliga
Sep 25, 2011Dinamo Tirana(home)2-1Superliga
Sep 17, 2011Pogradeci(away)0-1Superliga
Sep 10, 2011Skenderbeu Korce(away)0-0Superliga

How many goals should we expect?

Kamza score 0.6 and concede 1.0 goals per match over their last 5; Tomori Berat score 0.8 and concede 1.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Kamza0.61.022/52/5
Tomori Berat0.81.812/52/5

Over the last 5 matches in all competitions.

A question about Kamza vs Tomori Berat?

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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