Match

Betlemi vs Sasco: result 1-0 and analysis

Erovnuli Liga 2Group A - 11Kick-off on November 1, 2012 at 10:00 AM (UTC)Stadioni Archil Partenadze, Keda

Betlemi
1-0
Sasco

Full time

What was the result of Betlemi vs Sasco?

Betlemi won 1-0 on November 1, 2012.

Goalscorers

  • 87′G. KakhianiBetlemi (pen.)

Official lineup for Betlemi vs Sasco

The starting elevens fielded at kick-off.

Betlemi

  1. DDavit Jalaghania
  2. GG. Kakhiani
  3. LL. Bektashevi
  4. II. Natchkebia
  5. VV. Darchidze
  6. II. Baramidze
  1. NNukri Goguadze
  2. KKakhaber Katsarava
  3. GGivi Khachidze
  4. VV. Kuntchulia
  5. GGiorgi Kakabadze

Sasco

  1. IIlia Kavtaradze
  2. GGoga Chubinidze
  3. GG. Kvilitaia
  1. TT. Chargeishvili
  2. SShalva Piruzashvili
  3. OO. Chapidze
  4. ZZ. Kardava
  5. TT. Mogeladze
  1. GGiorgi Papunashvili
  2. JJabulo Iamanidze
  1. AA. Nonos
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What is the recent form of both teams?

Over their last 10 matches in all competitions, Betlemi have 3 wins, 1 draw and 6 defeats; Sasco have 8, 0 and 2.

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

Betlemi
DateOpponentScoreCompetition
Oct 25, 2012Guria(away)2-6Erovnuli Liga 2
Oct 18, 2012Racha(home)3-1Erovnuli Liga 2
Oct 12, 2012Dinamo Tbilisi II(away)0-9Erovnuli Liga 2
Oct 5, 2012Imereti(home)2-2Erovnuli Liga 2
Sep 28, 2012Sulori(away)0-1Erovnuli Liga 2
Sasco
DateOpponentScoreCompetition
Oct 25, 2012Skuri(home)3-1Erovnuli Liga 2
Oct 18, 2012Chiatura(home)3-0Erovnuli Liga 2
Oct 13, 2012Guria(away)0-1Erovnuli Liga 2
Oct 5, 2012Racha(home)4-0Erovnuli Liga 2
Sep 28, 2012Dinamo Tbilisi II(away)4-2Erovnuli Liga 2

How many goals should we expect?

Betlemi score 1.4 and concede 2.6 goals per match over their last 10; Sasco score 2.9 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Betlemi1.42.616/107/10
Sasco2.91.136/108/10

Over the last 10 matches in all competitions.

A question about Betlemi 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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