Match

Zugdidi vs Gagra: result 0-2 and analysis

Erovnuli Liga 2Regular Season - 7Kick-off on April 13, 2017 at 12:00 PM (UTC)Tsentraluri Stadioni, Zeda Etseri

Zugdidi
0-2
Gagra

Full time

What was the result of Zugdidi vs Gagra?

Gagra won 0-2 on April 13, 2017.

Goalscorers

  • 9′Tornike KiknadzeGagra
  • 66′G. Tkeshelashvili IIGagra

Official lineup for Zugdidi vs Gagra

The starting elevens fielded at kick-off.

Zugdidi

  1. AA. Parjikia
  1. DD. Kiria
  2. TTsotne Samushia
  3. MM. Ekhvaia
  4. TT. Akobia
  5. BB. Gabedava
  6. GG. Malania
  7. GG. Dzadzua
  8. NN. Lashkhia
  9. NN. Kiria
  1. MM. Rukhaia

Gagra

  1. ZZviad Kantaria
  2. GG. Tkeshelashvili II
  3. NNikoloz Khintibidze
  1. TTornike Kiknadze
  2. GG. Kakhiani
  3. OOleh Lutsenko
  4. GG. Getiashvili
  5. GG. Kurdadze
  1. NNikoloz Jishkariani
  2. LL. Kurdadze
  1. GGiorgi Nadiradze
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Zugdidi have 2 wins, 1 draw and 12 defeats; Gagra have 9, 4 and 2.

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

Zugdidi
DateOpponentScoreCompetition
Apr 9, 2017Meshakhte(away)1-4Erovnuli Liga 2
Apr 4, 2017Samgurali(away)1-4Erovnuli Liga 2
Mar 31, 2017Guria(home)2-3Erovnuli Liga 2
Mar 19, 2017Rustavi(away)1-1Erovnuli Liga 2
Mar 11, 2017WIT Georgia(home)0-3Erovnuli Liga 2
Gagra
DateOpponentScoreCompetition
Apr 8, 2017Samgurali(home)0-0Erovnuli Liga 2
Apr 4, 2017Guria(away)1-0Erovnuli Liga 2
Mar 31, 2017Rustavi(home)1-0Erovnuli Liga 2
Mar 19, 2017WIT Georgia(away)4-0Erovnuli Liga 2
Mar 10, 2017Sioni(home)0-2Erovnuli Liga 2

How many goals should we expect?

Zugdidi score 0.6 and concede 2.6 goals per match over their last 15; Gagra score 1.3 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Zugdidi0.62.626/159/15
Gagra1.30.7104/155/15

Over the last 15 matches in all competitions.

A question about Zugdidi vs Gagra?

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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