Borjomi vs Algeti: result 2-1 and analysis
Erovnuli Liga 2Group B - 3Kick-off on September 6, 2014 at 12:00 PM (UTC)Stadioni Jemal Zeinklishvili, Borjomi
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What was the result of Borjomi vs Algeti?
Borjomi won 2-1 on September 6, 2014.
Goalscorers
- 23′Edik SajaiaBorjomi
- 28′G. TvildianiAlgeti
- 32′256307Borjomi
Official lineup for Borjomi vs Algeti
The starting elevens fielded at kick-off.
Borjomi
- DDavit Kakulia
- II. Vekua
- GG. Kokozashvili
- VV. Giorgashvili
- VV. Tchankotadze
- NN. Kvaratskhelia
- VV. Beridze
- MM. Nwankwo
- EEdik Sajaia
- MMamuka Khitarishvili
- SS. Gogiashvili
Algeti
- IIrakli Svanidze
- GG. Tvildiani
- GG. Kurulashvili
- ZZ. Kardava
- LL. Dvali
- NN. Lomidze
- BB. Labuchidze
- MM. Tela
- GGocha Tchovelidze
- IIfeanyi Emmanuel Anigbo
- MM. Dzidziguri
What is the recent form of both teams?
Over their last 2 matches in all competitions, Borjomi have 2 wins, 0 draws and 0 defeats; Algeti have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2014 | Kolkheti Khobi(away) | 2-1 | Erovnuli Liga 2 |
| Aug 26, 2014 | Mertskhali(home) | 2-1 | Erovnuli Liga 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2014 | Betlemi(home) | 0-0 | Erovnuli Liga 2 |
| Aug 26, 2014 | Gagra(away) | 0-1 | Erovnuli Liga 2 |
| May 12, 2014 | Mertskhali(home) | 4-2 | Erovnuli Liga 2 |
| May 4, 2014 | Kakheti Telavi(away) | 1-1 | Erovnuli Liga 2 |
| Apr 30, 2014 | Meshakhte(home) | 4-1 | Erovnuli Liga 2 |
How many goals should we expect?
Borjomi score 2.0 and concede 1.0 goals per match over their last 2; Algeti score 1.5 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Borjomi | 2.0 | 1.0 | 0 | 2/2 | 2/2 |
| Algeti | 1.5 | 1.9 | 2 | 8/15 | 8/15 |
Over the last 2 matches in all competitions.
A question about Borjomi vs Algeti?
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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