Betlemi vs Gagra: result 1-0 and analysis
Erovnuli Liga 2Group A - 5Kick-off on September 23, 2012 at 12:00 PM (UTC)Stadioni Archil Partenadze, Keda
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What was the result of Betlemi vs Gagra?
Betlemi won 1-0 on September 23, 2012.
Goalscorers
- 45′256065Betlemi (pen.)
Official lineup for Betlemi vs Gagra
The starting elevens fielded at kick-off.
Betlemi
- DDavit Jalaghania
- LL. Bektashevi
- II. Natchkebia
- VV. Darchidze
- II. Baramidze
- LLasha Kalandadze
- NNukri Goguadze
- KKakhaber Katsarava
- GGivi Khachidze
- VV. Kuntchulia
- GGiorgi Kakabadze
Gagra
- AAleksandre Ivanishvili
- JJohn Jeremiah
- NN. Tchkuaseli
- LLevan Seturidze
- GGuga Palavandishvili
- BB. Teidi
- GG. Patchkoria
- LL. Kalandadze
- II. Khutsidze
- GG. Jgerenaia
- GG. Begashvili
What is the recent form of both teams?
Over their last 4 matches in all competitions, Betlemi have 1 win, 0 draws and 3 defeats; Gagra have 3, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 13, 2012 | Meshakhte(away) | 1-2 | Erovnuli Liga 2 |
| Sep 9, 2012 | STU(home) | 4-2 | Erovnuli Liga 2 |
| Sep 4, 2012 | Chiatura(away) | 1-2 | Erovnuli Liga 2 |
| Aug 25, 2012 | Skuri(away) | 0-1 | Erovnuli Liga 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 13, 2012 | Skuri(home) | 4-0 | Erovnuli Liga 2 |
| Sep 9, 2012 | Sasco(away) | 1-2 | Erovnuli Liga 2 |
| Sep 4, 2012 | Guria(home) | 1-0 | Erovnuli Liga 2 |
| Aug 26, 2012 | Racha(home) | 5-0 | Erovnuli Liga 2 |
How many goals should we expect?
Betlemi score 1.5 and concede 1.8 goals per match over their last 4; Gagra score 2.8 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Betlemi | 1.5 | 1.8 | 0 | 3/4 | 3/4 |
| Gagra | 2.8 | 0.5 | 3 | 1/4 | 3/4 |
Over the last 4 matches in all competitions.
A question about Betlemi vs Gagra?
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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