Match

Shevardeni 1906 vs Dinamo Zugdidi: prediction and stats

Erovnuli Liga 2Regular Season - 21Kick-off on August 29, 2022 at 11:00 AM (UTC)David Petriashvili Arena, Tbilisi

Shevardeni 1906Dinamo Zugdidi

Match cancelled

What is the recent form of both teams?

Over their last 15 matches in all competitions, Shevardeni 1906 have 5 wins, 1 draws and 9 defeats; Dinamo Zugdidi have 5, 4 and 6.

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

Shevardeni 1906
DateOpponentScoreCompetition
May 22, 2022Merani Martvili(home)0-1Erovnuli Liga 2
May 16, 2022Dinamo Zugdidi(away)0-0Erovnuli Liga 2
May 10, 2022Spaeri(home)2-3Erovnuli Liga 2
May 5, 2022Shukura(away)1-2Erovnuli Liga 2
Apr 28, 2022Samtredia(away)2-1Erovnuli Liga 2
Dinamo Zugdidi
DateOpponentScoreCompetition
May 22, 2022WIT Georgia(away)3-3Erovnuli Liga 2
May 16, 2022Shevardeni 1906(home)0-0Erovnuli Liga 2
May 10, 2022Merani Tbilisi(away)0-3Erovnuli Liga 2
May 5, 2022Gareji(home)4-0Erovnuli Liga 2
Apr 29, 2022Merani Martvili(home)0-1Erovnuli Liga 2

What does the head-to-head say?

Across the last 6 meetings: 4 Shevardeni 1906 win(s), 1 draw(s), 1 Dinamo Zugdidi win(s).

DateScoreCompetition
May 16, 2022Dinamo Zugdidi 0-0 Shevardeni 1906Erovnuli Liga 2
Mar 25, 2022Shevardeni 1906 1-0 Dinamo ZugdidiErovnuli Liga 2
Oct 3, 2021Shevardeni 1906 4-1 Dinamo ZugdidiErovnuli Liga 2
Jun 30, 2021Dinamo Zugdidi 0-1 Shevardeni 1906Erovnuli Liga 2
Apr 29, 2021Shevardeni 1906 5-2 Dinamo ZugdidiErovnuli Liga 2
Mar 1, 2021Dinamo Zugdidi 2-0 Shevardeni 1906Erovnuli Liga 2

Last archived meeting: Dinamo Zugdidi vs Shevardeni 1906 on May 16, 2022

How many goals should we expect?

Shevardeni 1906 score 1.4 and concede 2.3 goals per match over their last 15; Dinamo Zugdidi score 1.6 and concede 1.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Shevardeni 19061.42.329/1512/15
Dinamo Zugdidi1.61.647/159/15

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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