Match

Sapovnela vs Algeti: result 0-0 and analysis

Erovnuli Liga 2Group A - 8Kick-off on October 18, 2013 at 11:00 AM (UTC)

Sapovnela
0-0
Algeti

Full time

What was the result of Sapovnela vs Algeti?

Sapovnela and Algeti drew 0-0 on October 18, 2013.

Official lineup for Sapovnela vs Algeti

The starting elevens fielded at kick-off.

Sapovnela

  1. IIakob 'Koba' Deisadze
  1. II. Deisadze
  2. SShalva Tskipurishvili
  3. AA. Giorgadze
  4. DD. Bakradze
  5. AA. Butskhrikidze
  6. SS. Shugladze
  7. LL. Shavgulidze
  8. NN. Siradze
  1. DD. Chkhikvadze
  2. ZZurab Endeladze

Algeti

  1. DD. Dartsimelia
  1. VV. Nemsadze
  2. TTornike Mosiashvili
  3. IIlia Jojishvili
  4. BB. Labuchidze
  1. RRoman Kikalishvili
  2. IIrakli Alasania
  3. GGocha Tchovelidze
  4. GG. Patarkalishvili
  5. IIfeanyi Emmanuel Anigbo
  1. MM. Dzidziguri
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What is the recent form of both teams?

Over their last 6 matches in all competitions, Sapovnela have 5 wins, 0 draws and 1 defeat; Algeti have 8, 0 and 7.

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

Sapovnela
DateOpponentScoreCompetition
Oct 12, 2013Gagra(home)2-1Erovnuli Liga 2
Oct 7, 2013Chkherimela(away)5-0Erovnuli Liga 2
Sep 30, 2013Shukura(home)1-0Erovnuli Liga 2
Sep 22, 2013Dinamo Tbilisi II(away)0-1Erovnuli Liga 2
Sep 4, 2013Adeli(away)1-0Erovnuli Liga 2
Algeti
DateOpponentScoreCompetition
Oct 12, 2013Chkherimela(home)2-1Erovnuli Liga 2
Oct 7, 2013Shukura(away)0-3Erovnuli Liga 2
Oct 1, 2013Dinamo Tbilisi II(home)1-0Erovnuli Liga 2
Sep 11, 2013Adeli(home)5-0Erovnuli Liga 2
Sep 4, 2013Imereti(away)2-0Erovnuli Liga 2

How many goals should we expect?

Sapovnela score 2.0 and concede 0.3 goals per match over their last 6; Algeti score 1.3 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sapovnela2.00.341/63/6
Algeti1.31.355/158/15

Over the last 6 matches in all competitions.

A question about Sapovnela vs Algeti?

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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