Skuri vs Borjomi: result 0-0 and analysis
Erovnuli Liga 2Group B - 4Kick-off on September 12, 2014 at 12:00 PM (UTC)Stadioni Sasha Kvaratskhelia, Tsalenjikha
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What was the result of Skuri vs Borjomi?
Skuri and Borjomi drew 0-0 on September 12, 2014.
Official lineup for Skuri vs Borjomi
The starting elevens fielded at kick-off.
Skuri
- AAmiran Tsabria
- LL. Gabunia
- GG. Sartania
- LL. Bojgua
- GG. Shelia
- DD. Rapava
- JJaba Kurua
- AAleksandre Mikenaia
- LL. Morgoshia
- BB. Lolua
- TTariel Kharchilava
Borjomi
- DDavit Kakulia
- II. Vekua
- GG. Kokozashvili
- VV. Giorgashvili
- VV. Tchankotadze
- NN. Kvaratskhelia
- VV. Beridze
- MM. Nwankwo
- EEdik Sajaia
- MMamuka Khitarishvili
- SS. Gogiashvili
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skuri have 3 wins, 5 draws and 7 defeats; Borjomi have 3, 0 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 6, 2014 | Betlemi(away) | 0-0 | Erovnuli Liga 2 |
| Sep 1, 2014 | Gagra(home) | 2-5 | Erovnuli Liga 2 |
| Aug 26, 2014 | Dinamo Tbilisi II(home) | 1-1 | Erovnuli Liga 2 |
| May 12, 2014 | Sapovnela(away) | 0-0 | Erovnuli Liga 2 |
| May 4, 2014 | Chkherimela(home) | 1-1 | Erovnuli Liga 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 6, 2014 | Algeti(home) | 2-1 | Erovnuli Liga 2 |
| Sep 1, 2014 | Kolkheti Khobi(away) | 2-1 | Erovnuli Liga 2 |
| Aug 26, 2014 | Mertskhali(home) | 2-1 | Erovnuli Liga 2 |
How many goals should we expect?
Skuri score 0.9 and concede 1.9 goals per match over their last 15; Borjomi score 2.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skuri | 0.9 | 1.9 | 5 | 7/15 | 7/15 |
| Borjomi | 2.0 | 1.0 | 0 | 3/3 | 3/3 |
Over the last 15 matches in all competitions.
A question about Skuri vs Borjomi?
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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