Match

Imereti vs Gagra: result 0-1 and analysis

Erovnuli Liga 2Group A - 10Kick-off on October 25, 2012 at 01:00 PM (UTC)Stadioni 26 Maisi, Tskhaltubo

Imereti
0-1
Gagra

Full time

What was the result of Imereti vs Gagra?

Gagra won 0-1 on October 25, 2012.

Goalscorers

  • 90′D. VolkoviGagra

Official lineup for Imereti vs Gagra

The starting elevens fielded at kick-off.

Imereti

  1. GGiorgi Goderidze
  2. DDato Kukhalashvili
  3. GG. Kheladze
  4. GG. Managadze
  5. NN. Chikhladze
  6. MM. Ashvetia
  1. VVakhtang Bregadze
  2. LLevan Gachechiladze
  3. DDemur Khaburdzania
  4. AAnri Tkeshelashvili
  1. IIrakli Murghulia

Gagra

  1. AAleksandre Ivanishvili
  2. DD. Volkovi
  1. GGuga Palavandishvili
  2. GGiorgi Eristavi
  3. BB. Teidi
  4. AA. Adamia
  5. GG. Patchkoria
  6. LL. Kalandadze
  7. TTamaz Zhishkariani I
  8. NN. Khojashvili
  1. GG. Jgerenaia
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Imereti have 8 wins, 3 draws and 4 defeats; Gagra have 7, 0 and 2.

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

Imereti
DateOpponentScoreCompetition
Oct 18, 2012Meshakhte(away)0-1Erovnuli Liga 2
Oct 13, 2012STU(home)1-0Erovnuli Liga 2
Oct 5, 2012Betlemi(away)2-2Erovnuli Liga 2
Sep 28, 2012Skuri(home)2-0Erovnuli Liga 2
Sep 23, 2012Sasco(away)1-4Erovnuli Liga 2
Gagra
DateOpponentScoreCompetition
Oct 18, 2012Sulori(home)3-2Erovnuli Liga 2
Oct 13, 2012Chiatura(away)1-0Erovnuli Liga 2
Oct 5, 2012Meshakhte(away)4-1Erovnuli Liga 2
Sep 29, 2012STU(home)3-0Erovnuli Liga 2
Sep 23, 2012Betlemi(away)0-1Erovnuli Liga 2

How many goals should we expect?

Imereti score 1.6 and concede 1.3 goals per match over their last 15; Gagra score 2.4 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Imereti1.61.349/158/15
Gagra2.40.753/96/9

Over the last 15 matches in all competitions.

A question about Imereti 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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