Match

Dila II vs Betlemi: result 1-4 and analysis

Erovnuli Liga 2Group B - 4Kick-off on September 22, 2013 at 12:00 PM (UTC)Kartlis Stadioni, Gori

Dila II
1-4
Betlemi

Full time

What was the result of Dila II vs Betlemi?

Betlemi won 1-4 on September 22, 2013.

Goalscorers

  • 32′Levan KantariaBetlemi (pen.)
  • 63′Archil PartenadzeBetlemi
  • 75′L. ShengeliaDila II
  • 85′256494Betlemi
  • 89′G. KakhianiBetlemi

Official lineup for Dila II vs Betlemi

The starting elevens fielded at kick-off.

Dila II

  1. GG. Beridze
  2. LL. Shengelia
  1. LL. Kochladze
  2. DD. Gabichvadze
  3. KK. Ghaghanidze
  4. TT. Keburia
  5. GG. Giorgadze
  6. KK. Melashvili
  7. II. Beridze
  1. NN. Apkhazava
  2. GG. Gaprindashvili

Betlemi

  1. BB. Kakhidze
  1. AArchil Partenadze
  2. LLevan Kantaria
  3. EE. Erkomaishvili
  4. GG. Kakhiani
  5. LL. Ninikashvili
  6. TT. Chaduneli
  7. RR. Kobuladze
  8. BB. Jugashvili
  9. II. Bolkvadze
  1. AA. Markatsaria
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What is the recent form of both teams?

Over their last 3 matches in all competitions, Dila II have 1 win, 1 draw and 1 defeat; Betlemi have 2, 4 and 9.

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

Dila II
DateOpponentScoreCompetition
Sep 12, 2013Dinamo Batumi(away)1-3Erovnuli Liga 2
Sep 5, 2013Samgurali(home)1-0Erovnuli Liga 2
Aug 31, 2013STU(away)2-2Erovnuli Liga 2
Betlemi
DateOpponentScoreCompetition
Sep 12, 2013Samtredia(home)0-1Erovnuli Liga 2
Sep 5, 2013Sasco(away)0-0Erovnuli Liga 2
Aug 31, 2013Chiatura(home)1-2Erovnuli Liga 2
May 27, 2013Gagra(home)3-3Erovnuli Liga 2
May 21, 2013Dinamo Tbilisi II(away)0-5Erovnuli Liga 2

How many goals should we expect?

Dila II score 1.3 and concede 1.7 goals per match over their last 3; Betlemi score 1.0 and concede 2.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Dila II1.31.712/32/3
Betlemi1.02.428/1510/15

Over the last 3 matches in all competitions.

A question about Dila II vs Betlemi?

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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