Match

Sapovnela vs Gardabani: result 3-1 and analysis

Erovnuli Liga 2Regular Season - 3Kick-off on September 3, 2016 at 01:00 PM (UTC)

Sapovnela
3-1
Gardabani

Full time

What was the result of Sapovnela vs Gardabani?

Sapovnela won 3-1 on September 3, 2016.

Goalscorers

  • 17′24542Gardabani
  • 29′255928Sapovnela (pen.)
  • 62′Giorgi TchankotadzeSapovnela
  • 67′255546Sapovnela

Official lineup for Sapovnela vs Gardabani

The starting elevens fielded at kick-off.

Sapovnela

  1. DDavit Odikadze
  2. GGiorgi Tchankotadze
  3. GG. Papuashvili
  4. AA. Giorgadze
  5. TT. Chikviladze
  6. LL. Bakuradze
  7. TT. Purtukhia
  8. GG. Bibileishvili
  9. GG. Makaridze
  1. GGiorgi Memarnishvili
  2. DD. Sajaia

Gardabani

  1. AA. Museliani
  1. TT. Tsetskhladze
  2. GG. Kashia
  3. NN. Ashba
  4. DD. Gabichvadze
  5. NN. Dvalishvili
  6. KK. Melashvili
  7. LL. Margvelashvili
  8. II. Kerdzevadze
  9. GG. Kvaratskhelia
  10. NN. Bakhtadze
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Sapovnela have 4 wins, 4 draws and 7 defeats; Gardabani have 0, 0 and 2.

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

Sapovnela
DateOpponentScoreCompetition
Aug 19, 2016Gagra(away)3-0Erovnuli Liga 2
May 22, 2016Chikhura Sachkhere(away)2-3Erovnuli Liga
May 14, 2016Tskhinvali(home)2-1Erovnuli Liga
May 8, 2016Torpedo Kutaisi(away)1-4Erovnuli Liga
Apr 30, 2016Dinamo Batumi(home)2-1Erovnuli Liga
Gardabani
DateOpponentScoreCompetition
Aug 29, 2016Gagra(home)2-5Erovnuli Liga 2
Aug 19, 2016Chiatura(away)0-1Erovnuli Liga 2

How many goals should we expect?

Sapovnela score 1.1 and concede 1.7 goals per match over their last 15; Gardabani score 1.0 and concede 3.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sapovnela1.11.757/159/15
Gardabani1.03.001/21/2

Over the last 15 matches in all competitions.

A question about Sapovnela vs Gardabani?

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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