Match

Gagra vs Kolkheti Poti: result 1-1 and analysis

Erovnuli Liga 2Regular Season - 17Kick-off on June 30, 2019 at 02:00 PM (UTC)David Petriashvili Arena, Tbilisi

Gagra
1-1
Kolkheti Poti

Full time

What was the result of Gagra vs Kolkheti Poti?

Gagra and Kolkheti Poti drew 1-1 on June 30, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Gagra have 6 wins, 3 draws and 6 defeats; Kolkheti Poti have 5, 1 and 9.

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

Gagra
DateOpponentScoreCompetition
Jun 24, 2019Samtredia(away)1-4Erovnuli Liga 2
Jun 15, 2019Telavi(home)1-0Erovnuli Liga 2
May 31, 2019Shevardeni 1906(away)0-1Erovnuli Liga 2
May 26, 2019Guria(home)3-0Erovnuli Liga 2
May 21, 2019Zugdidi(away)2-1Erovnuli Liga 2
Kolkheti Poti
DateOpponentScoreCompetition
Jun 23, 2019Tskhinvali(away)2-1Erovnuli Liga 2
Jun 14, 2019Samtredia(home)1-2Erovnuli Liga 2
May 31, 2019Telavi(away)1-0Erovnuli Liga 2
May 27, 2019Shevardeni 1906(home)0-0Erovnuli Liga 2
May 21, 2019Guria(away)2-1Erovnuli Liga 2

What does the head-to-head say?

Across the last 3 meetings: 1 Gagra win, 2 draws, 0 Kolkheti Poti wins.

DateScoreCompetition
Apr 22, 2019Kolkheti Poti 0-2 GagraErovnuli Liga 2
Apr 30, 2014Gagra 1-1 Kolkheti PotiErovnuli Liga 2
Nov 12, 2013Kolkheti Poti 1-1 GagraErovnuli Liga 2

Last archived meeting: Kolkheti Poti vs Gagra on Apr 22, 2019

How many goals should we expect?

Gagra score 1.1 and concede 1.1 goals per match over their last 15; Kolkheti Poti score 0.9 and concede 1.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Gagra1.11.176/156/15
Kolkheti Poti0.91.946/158/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
10Kolkheti Poti2861012343528

A question about Gagra vs Kolkheti Poti?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

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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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