Match

Sapovnela vs Sulori: result 0-0 and analysis

Erovnuli Liga 2Regular Season - 5Kick-off on September 12, 2016 at 12:30 PM (UTC)

Sapovnela
0-0
Sulori

Full time

What was the result of Sapovnela vs Sulori?

Sapovnela and Sulori drew 0-0 on September 12, 2016.

Official lineup for Sapovnela vs Sulori

The starting elevens fielded at kick-off.

Sapovnela

  1. DDavit Odikadze
  2. GG. Papuashvili
  3. AA. Giorgadze
  4. OO. Kusiani
  5. LL. Bakuradze
  6. GG. Bibileishvili
  7. GG. Makaridze
  8. BB. Khmelidze
  9. LL. Akhalaia
  1. GGiorgi Memarnishvili
  2. DD. Sajaia

Sulori

  1. GG. Piranashvili
  1. NNikoloz Kvaskhvadze
  2. DD. Ivaniadze
  3. BB. Nikoladze
  4. DD. Samseishvili
  5. II. Kiladze
  6. VV. Tchrelashvili
  1. II. Tchankvetadze
  2. GG. Bregvadze
  3. AA. Rokhvadze
  1. SS. Ghvinianidze
Ask the AI a questionSign-in required.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Sapovnela have 5 wins, 4 draws and 6 defeats; Sulori have 2, 2 and 11.

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

Sapovnela
DateOpponentScoreCompetition
Sep 8, 2016Odishi 1919(away)0-5Erovnuli Liga 2
Sep 3, 2016Gardabani(home)3-1Erovnuli Liga 2
Aug 19, 2016Gagra(away)3-0Erovnuli Liga 2
May 22, 2016Chikhura Sachkhere(away)2-3Erovnuli Liga
May 14, 2016Tskhinvali(home)2-1Erovnuli Liga
Sulori
DateOpponentScoreCompetition
Sep 8, 2016Gagra(home)3-3Erovnuli Liga 2
Sep 3, 2016Chiatura(away)1-2Erovnuli Liga 2
Aug 29, 2016Borjomi(home)1-0Erovnuli Liga 2
Aug 19, 2016Skuri(away)0-3Erovnuli Liga 2
May 12, 2014Kolkheti Khobi(home)0-1Erovnuli Liga 2

How many goals should we expect?

Sapovnela score 1.3 and concede 1.7 goals per match over their last 15; Sulori score 0.7 and concede 2.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sapovnela1.31.758/1510/15
Sulori0.72.034/159/15

Over the last 15 matches in all competitions.

A question about Sapovnela vs Sulori?

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

Other matches in the same round

Ready to know everything about football?