Sasco vs Gagra: result 2-1 and analysis
Erovnuli Liga 2Group A - 3Kick-off on September 9, 2012 at 12:00 PM (UTC)Sport-kompleksi Shatili, Tbilisi
Full time
What was the result of Sasco vs Gagra?
Sasco won 2-1 on September 9, 2012.
Goalscorers
- 6′G. KvilitaiaSasco
- 51′G. KvilitaiaSasco
- 87′John JeremiahGagra
Official lineup for Sasco vs Gagra
The starting elevens fielded at kick-off.
Sasco
- IIlia Kavtaradze
- GGoga Chubinidze
- GG. Kvilitaia
- KKonstantine Akhalaia
- SShalva Piruzashvili
- TTornike Korchilava
- ZZ. Kardava
- GG. Arakhamia
- GGiorgi Papunashvili
- JJabulo Iamanidze
- AA. Nonos
Gagra
- AAleksandre Ivanishvili
- DD. Volkovi
- NN. Tchkuaseli
- LLevan Seturidze
- GGuga Palavandishvili
- BB. Teidi
- GG. Patchkoria
- LL. Kalandadze
- II. Khutsidze
- GG. Rostiashvili
- GG. Begashvili
What is the recent form of both teams?
Over their last 2 matches in all competitions, Sasco have 1 win, 0 draws and 1 defeat; Gagra have 2, 0 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 4, 2012 | Meshakhte(away) | 5-1 | Erovnuli Liga 2 |
| Aug 25, 2012 | STU(home) | 3-4 | Erovnuli Liga 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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?
Sasco score 4.0 and concede 2.5 goals per match over their last 2; Gagra score 3.0 and concede 0.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sasco | 4.0 | 2.5 | 0 | 2/2 | 2/2 |
| Gagra | 3.0 | 0.0 | 2 | 0/2 | 1/2 |
Over the last 2 matches in all competitions.
A question about Sasco 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