Match

Gagra vs Tskhinvali: result 1-0 and analysis

Erovnuli Liga 2Regular Season - 9Kick-off on April 29, 2017 at 12:00 PM (UTC)Stadioni Mtskheta Parki, Mtskheta

Gagra
1-0
Tskhinvali

Full time

What was the result of Gagra vs Tskhinvali?

Gagra won 1-0 on April 29, 2017.

Goalscorers

  • 38′Nikoloz KhintibidzeGagra

Official lineup for Gagra vs Tskhinvali

The starting elevens fielded at kick-off.

Gagra

  1. ZZviad Kantaria
  2. NNikoloz Khintibidze
  3. LL. Papava
  1. TTornike Mosiashvili
  2. SS. Gvazava
  3. OOleh Lutsenko
  4. GG. Tkeshelashvili
  5. GG. Getiashvili
  6. GG. Kurdadze
  1. NNikoloz Jishkariani
  1. GGiorgi Nadiradze

Tskhinvali

  1. TT. Makatsaria
  1. GG. Ioseliani
  2. LL. Gvalia
  3. EE. Sultanishvili
  4. KK. Oluwa
  5. SS. Kristesiashvili
  6. LL. Lezhava
  1. GGiorgi Tsertsvadze
  2. MM. Gelashvili
  3. LL. Gadrani
  1. VVladimir Melnichenko
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Gagra have 10 wins, 3 draws and 2 defeats; Tskhinvali have 4, 3 and 8.

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

Gagra
DateOpponentScoreCompetition
Apr 21, 2017Meshakhte(away)2-0Erovnuli Liga 2
Apr 13, 2017Zugdidi(away)2-0Erovnuli Liga 2
Apr 8, 2017Samgurali(home)0-0Erovnuli Liga 2
Apr 4, 2017Guria(away)1-0Erovnuli Liga 2
Mar 31, 2017Rustavi(home)1-0Erovnuli Liga 2
Tskhinvali
DateOpponentScoreCompetition
Apr 21, 2017Zugdidi(home)4-3Erovnuli Liga 2
Apr 12, 2017Samgurali(away)0-1Erovnuli Liga 2
Apr 8, 2017Guria(home)4-3Erovnuli Liga 2
Apr 4, 2017Rustavi(away)1-4Erovnuli Liga 2
Mar 31, 2017WIT Georgia(home)1-0Erovnuli Liga 2

How many goals should we expect?

Gagra score 1.5 and concede 0.7 goals per match over their last 15; Tskhinvali score 1.3 and concede 1.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Gagra1.50.7104/155/15
Tskhinvali1.31.9310/1510/15

Over the last 15 matches in all competitions.

A question about Gagra vs Tskhinvali?

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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