Match

Chiatura vs Gagra: result 0-1 and analysis

Erovnuli Liga 2Group A - 8Kick-off on October 13, 2012 at 01:00 PM (UTC)Stadioni Temur Maghradze, Chiatura

Chiatura
0-1
Gagra

Full time

What was the result of Chiatura vs Gagra?

Gagra won 0-1 on October 13, 2012.

Goalscorers

  • 64′N. TchkuaseliGagra

Official lineup for Chiatura vs Gagra

The starting elevens fielded at kick-off.

Chiatura

  1. IIakob 'Koba' Deisadze
  1. II. Deisadze
  2. DDavit Sevastopulo
  3. LLevan Machaidze
  4. GG. Badurashvili
  5. TT. Kharebava
  6. LL. Tsutskiridze
  7. II. Kiladze
  8. GG. Samkurashvili
  1. GGiorgi Metskhovrishvili
  2. GGocha Bregvadze

Gagra

  1. AAleksandre Ivanishvili
  1. NN. Tchkuaseli
  2. GGuga Palavandishvili
  3. GGiorgi Eristavi
  4. BB. Teidi
  5. GG. Patchkoria
  6. LL. Kalandadze
  7. II. Khutsidze
  8. TTamaz Zhishkariani I
  1. GG. Jgerenaia
  1. GG. Begashvili
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Chiatura have 5 wins, 3 draws and 7 defeats; Gagra have 5, 0 and 2.

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

Chiatura
DateOpponentScoreCompetition
Oct 5, 2012Guria(away)1-4Erovnuli Liga 2
Sep 28, 2012Meshakhte(home)2-0Erovnuli Liga 2
Sep 24, 2012Racha(away)2-2Erovnuli Liga 2
Sep 13, 2012STU(home)1-3Erovnuli Liga 2
Sep 9, 2012Dinamo Tbilisi II(away)2-4Erovnuli Liga 2
Gagra
DateOpponentScoreCompetition
Oct 5, 2012Meshakhte(away)4-1Erovnuli Liga 2
Sep 29, 2012STU(home)3-0Erovnuli Liga 2
Sep 23, 2012Betlemi(away)0-1Erovnuli Liga 2
Sep 13, 2012Skuri(home)4-0Erovnuli Liga 2
Sep 9, 2012Sasco(away)1-2Erovnuli Liga 2

How many goals should we expect?

Chiatura score 1.5 and concede 1.8 goals per match over their last 15; Gagra score 2.6 and concede 0.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Chiatura1.51.849/159/15
Gagra2.60.642/75/7

Over the last 15 matches in all competitions.

A question about Chiatura vs Gagra?

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

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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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