Match

Dila II vs Sasco: result 2-1 and analysis

Erovnuli Liga 2Group B - 8Kick-off on October 19, 2013 at 11:00 AM (UTC)Kartlis Stadioni, Gori

Dila II
2-1
Sasco

Full time

What was the result of Dila II vs Sasco?

Dila II won 2-1 on October 19, 2013.

Goalscorers

  • 9′L. KochladzeDila II
  • 57′L. KochladzeDila II (pen.)
  • 86′Rezo DjikiaSasco

Official lineup for Dila II vs Sasco

The starting elevens fielded at kick-off.

Dila II

  1. LL. Shengelia
  1. LL. Kochladze
  2. GG. Kashia
  3. KK. Ghaghanidze
  4. TT. Keburia
  5. KK. Melashvili
  6. II. Beridze
  7. II. Kerdzevadze
  1. NN. Apkhazava
  2. GG. Gaprindashvili
  1. BBeka Shekriladze

Sasco

  1. DDavit Dighmelashvili
  2. GG. Shetsiruli
  3. SShalva Piruzashvili
  4. AA. Intskirveli
  5. GG. Arakhamia
  6. BB. Zakradze
  7. GG. Rekhviashvili
  1. ZZaal Eliava
  2. EEdik Sajaia
  3. GG. Machaidze
  1. AA. Nonos
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What is the recent form of both teams?

Over their last 7 matches in all competitions, Dila II have 1 win, 2 draws and 4 defeats; Sasco have 4, 2 and 9.

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

Dila II
DateOpponentScoreCompetition
Oct 13, 2013Chiatura(away)0-1Erovnuli Liga 2
Oct 8, 2013Bakhmaro(home)1-1Erovnuli Liga 2
Oct 1, 2013Matchakhela(away)0-4Erovnuli Liga 2
Sep 22, 2013Betlemi(home)1-4Erovnuli Liga 2
Sep 12, 2013Dinamo Batumi(away)1-3Erovnuli Liga 2
Sasco
DateOpponentScoreCompetition
Oct 13, 2013Samtredia(home)2-1Erovnuli Liga 2
Oct 8, 2013Lokomotivi Tbilisi(away)1-2Erovnuli Liga 2
Oct 1, 2013Chiatura(away)1-2Erovnuli Liga 2
Sep 22, 2013Bakhmaro(home)2-1Erovnuli Liga 2
Sep 12, 2013Matchakhela(away)0-2Erovnuli Liga 2

How many goals should we expect?

Dila II score 0.9 and concede 2.1 goals per match over their last 7; Sasco score 1.1 and concede 1.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Dila II0.92.114/74/7
Sasco1.11.6210/1511/15

Over the last 7 matches in all competitions.

A question about Dila II vs Sasco?

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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