Match

Samgurali vs Gagra: result 1-0 and analysis

Erovnuli Liga 2Regular Season - 13Kick-off on November 12, 2015 at 10:00 AM (UTC)Stadioni 26 Maisi, Tskhaltubo

Samgurali
1-0
Gagra

Full time

What was the result of Samgurali vs Gagra?

Samgurali won 1-0 on November 12, 2015.

Goalscorers

  • 84′256164Samgurali

Official lineup for Samgurali vs Gagra

The starting elevens fielded at kick-off.

Samgurali

  1. GGiorgi Tevdoradze
  1. BBeka Kakushadze
  2. TT. Bandzeladze
  3. BB. Pantskhava
  4. II. Khvadagiani
  5. LL. Kipiani
  6. ZZ. Kukhalashvili
  7. GG. Ghvitidze
  1. NN. Kharabadze
  2. ZZ. Saghinadze
  3. TTemur Janashia

Gagra

  1. LL. Papava
  1. TT. Mosiashvili
  2. GGiorgi Kvizhinadze
  3. GG. Vekua
  4. NN. Shermadini
  5. JJ. Nozadze
  6. ZZ. Zandarashvili
  7. SS. Davlashelidze
  8. AA. Sarishvili
  9. NN. Magrakvelidze
  1. BBeka Askilashvili
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Samgurali have 11 wins, 1 draw and 3 defeats; Gagra have 8, 1 and 6.

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

Samgurali
DateOpponentScoreCompetition
Nov 6, 2015Meshakhte(away)2-1Erovnuli Liga 2
Oct 31, 2015Mertskhali(home)2-1Erovnuli Liga 2
Oct 22, 2015Imereti(away)1-0Erovnuli Liga 2
Oct 15, 2015Liakhvi Tskhinvali(home)1-3Erovnuli Liga 2
Oct 9, 2015Chiatura(away)2-1Erovnuli Liga 2
Gagra
DateOpponentScoreCompetition
Nov 6, 2015Samegrelo(home)3-0Erovnuli Liga 2
Oct 31, 2015Betlemi(away)2-5Erovnuli Liga 2
Oct 22, 2015Skuri(home)2-0Erovnuli Liga 2
Oct 15, 2015Borjomi(away)1-3Erovnuli Liga 2
Oct 9, 2015Chkherimela(home)2-1Erovnuli Liga 2

How many goals should we expect?

Samgurali score 2.0 and concede 1.1 goals per match over their last 15; Gagra score 1.7 and concede 1.2.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Samgurali2.01.149/1511/15
Gagra1.71.257/159/15

Over the last 15 matches in all competitions.

A question about Samgurali vs Gagra?

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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