Match

Shukura vs WIT Georgia: result 2-0 and analysis

Erovnuli LigaRegular SeasonKick-off on November 8, 2014 at 10:00 AM (UTC)Chele Arena, Kobuleti

Shukura
2-0
WIT Georgia

Full time

What was the result of Shukura vs WIT Georgia?

Shukura won 2-0 on November 8, 2014.

Goalscorers

  • 39′255671Shukura
  • 76′24470Shukura

Official lineup for Shukura vs WIT Georgia

The starting elevens fielded at kick-off.

Shukura

  1. LLasha Chaladze
  2. GG. Kukhianidze
  3. LL. Chapidze
  4. LLevan Beruashvili
  5. GG. Chelebadze
  6. TT. Kakaladze
  7. ZZ. Malania
  8. ZZ. Tughushi
  1. GGiorgi Guruli
  2. AArchil Tvildiani
  3. II. Komakhidze

WIT Georgia

  1. MM. Kvirkvia
  2. EE. Lobjanidze
  1. NNika Maisuradze
  2. LL. Sabadze
  3. KKakha Kakhabrishvili
  4. JJ. Sherozia
  5. GG. Getiashvili
  6. GG. Kalandia
  7. II. Ghibradze
  8. SS. Davlashelidze
  9. VV. Gakharia
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Shukura have 4 wins, 5 draws and 6 defeats; WIT Georgia have 3, 2 and 6.

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

Shukura
DateOpponentScoreCompetition
Nov 2, 2014Merani Martvili(away)0-1Erovnuli Liga
Oct 25, 2014Dila(home)3-0Erovnuli Liga
Oct 19, 2014Kolkheti Poti(away)2-2Erovnuli Liga
Oct 5, 2014Metalurgi Rustavi(home)0-1Erovnuli Liga
Sep 27, 2014Samtredia(home)0-1Erovnuli Liga
WIT Georgia
DateOpponentScoreCompetition
Nov 2, 2014Zestafoni(home)2-3Erovnuli Liga
Oct 24, 2014Sioni(away)0-0Erovnuli Liga
Oct 18, 2014Dinamo Tbilisi(home)0-1Erovnuli Liga
Oct 5, 2014Chikhura Sachkhere(away)0-2Erovnuli Liga
Sep 26, 2014Guria(home)2-2Erovnuli Liga

How many goals should we expect?

Shukura score 1.2 and concede 1.5 goals per match over their last 15; WIT Georgia score 1.0 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Shukura1.21.538/157/15
WIT Georgia1.01.133/113/11

Over the last 15 matches in all competitions.

A question about Shukura vs WIT Georgia?

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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