Match

Tskhinvali vs Zugdidi: result 2-1 and analysis

Erovnuli Liga 2Regular Season - 24Kick-off on August 29, 2019 at 01:00 PM (UTC)Stadioni Poladi, Rustavi

Tskhinvali
2-1
Zugdidi

Full time

What was the result of Tskhinvali vs Zugdidi?

Tskhinvali won 2-1 on August 29, 2019.

Goalscorers

  • 43′I. KlimiashviliZugdidi
  • 58′24387Tskhinvali
  • 74′Z. LobjanidzeTskhinvali

What is the recent form of both teams?

Over their last 15 matches in all competitions, Tskhinvali have 2 wins, 4 draws and 9 defeats; Zugdidi have 4, 0 and 11.

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

Tskhinvali
DateOpponentScoreCompetition
Aug 24, 2019Samtredia(away)0-3Erovnuli Liga 2
Aug 18, 2019Shukura(home)0-1Erovnuli Liga 2
Aug 13, 2019Telavi(away)0-1Erovnuli Liga 2
Aug 9, 2019Merani Tbilisi(home)1-4Erovnuli Liga 2
Aug 4, 2019Shevardeni 1906(away)0-1Erovnuli Liga 2
Zugdidi
DateOpponentScoreCompetition
Aug 23, 2019Shukura(away)1-0Erovnuli Liga 2
Aug 18, 2019Merani Tbilisi(home)1-2Erovnuli Liga 2
Aug 13, 2019Gagra(away)1-0Erovnuli Liga 2
Aug 9, 2019Kolkheti Poti(home)1-0Erovnuli Liga 2
Aug 4, 2019Samtredia(away)0-1Erovnuli Liga 2

What does the head-to-head say?

Across the last 6 meetings: 4 Tskhinvali win(s), 1 draw(s), 1 Zugdidi win(s).

DateScoreCompetition
Jun 14, 2019Zugdidi 1-3 TskhinvaliErovnuli Liga 2
Apr 8, 2019Tskhinvali 3-0 ZugdidiErovnuli Liga 2
Nov 21, 2017Zugdidi 1-1 TskhinvaliErovnuli Liga 2
Sep 14, 2017Tskhinvali 3-0 ZugdidiErovnuli Liga 2
Jun 16, 2017Zugdidi 2-0 TskhinvaliErovnuli Liga 2
Apr 21, 2017Tskhinvali 4-3 ZugdidiErovnuli Liga 2

Last archived meeting: Zugdidi vs Tskhinvali on Jun 14, 2019

How many goals should we expect?

Tskhinvali score 0.7 and concede 1.7 goals per match over their last 15; Zugdidi score 0.6 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Tskhinvali0.71.726/157/15
Zugdidi0.61.744/156/15

Over the last 15 matches in all competitions.

How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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