Match

Tskhinvali vs Shukura: result 3-0 and analysis

Erovnuli Liga 2Group B - 3Kick-off on September 10, 2012 at 12:00 PM (UTC)Stadioni Poladi, Rustavi

Tskhinvali
3-0
Shukura

Full time

What was the result of Tskhinvali vs Shukura?

Tskhinvali won 3-0 on September 10, 2012.

Goalscorers

  • 33′107581Tskhinvali
  • 47′255706Tskhinvali
  • 61′24470Tskhinvali

Official lineup for Tskhinvali vs Shukura

The starting elevens fielded at kick-off.

Tskhinvali

  1. TT. Shonia
  2. UUcha Burdzenadze
  3. TT. Tukhareli
  4. GG. Lemonjava
  5. DD. Gelashvili
  6. ZZ. Metreveli
  1. LL. Kurdadze
  2. LL. Tchapodze
  3. VV. Kilasonia
  4. LL. Tvalavadze
  1. GGiorgi Nadiradze

Shukura

  1. MMikheil Kakaladze
  1. LL. Chapidze
  2. GG. Chelebadze
  3. TT. Kakaladze
  4. II. Takidze
  5. MM. Putkaradze
  6. GG. Chkhikvishvili
  7. MM. Kopaliani
  1. II. Khutchua
  2. LLevan Makharadze
  3. DDavit Gabelia
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What is the recent form of both teams?

Over their last 2 matches in all competitions, Tskhinvali have 2 wins, 0 draws and 0 defeats; Shukura have 1, 0 and 1.

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

Tskhinvali
DateOpponentScoreCompetition
Sep 3, 2012Samtredia(away)2-0Erovnuli Liga 2
Aug 25, 2012Liakhvi Achabeti(away)3-0Erovnuli Liga 2
Shukura
DateOpponentScoreCompetition
Sep 5, 2012Liakhvi Achabeti(home)1-0Erovnuli Liga 2
Aug 25, 2012Samgurali(away)0-1Erovnuli Liga 2

How many goals should we expect?

Tskhinvali score 2.5 and concede 0.0 goals per match over their last 2; Shukura score 0.5 and concede 0.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Tskhinvali2.50.020/21/2
Shukura0.50.510/20/2

Over the last 2 matches in all competitions.

A question about Tskhinvali vs Shukura?

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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