Aeti vs Chikhura Sachkhere: result 0-2 and analysis
Erovnuli Liga 2Group B - 4Kick-off on September 10, 2011 at 12:00 PM (UTC)Sport-kompleksi Shatili, Tbilisi
Full time
What was the result of Aeti vs Chikhura Sachkhere?
Chikhura Sachkhere won 0-2 on September 10, 2011.
Goalscorers
- 12′Nikoloz KvaskhvadzeChikhura Sachkhere
- 84′256077Chikhura Sachkhere
Official lineup for Aeti vs Chikhura Sachkhere
The starting elevens fielded at kick-off.
Aeti
- GGiorgi Bagalishvili
- DDiego Lobzhanidze
- VV. Tchabukiani
- GGiorgi Grigalashvili
- GGiorgi Malazonia
- TTornike Kartlelishvili
- LL. Ezieshvili
- LL. Bitsadze
- GG. Narsia
- LLevan Jobava
- TTornike Metreveli
Chikhura Sachkhere
- NNikoloz Kvaskhvadze
- LLasha Nozadze
- GGiorgi Silagava
- IIrakli Zabakhidze
- JJ. Berianidze
- GG. Salaridze
- LL. Bakuradze
- EErekle Zivzivadze
- LL. Chikvaidze
- LL. Tchelidze
- RR. Tevdoradze
What is the recent form of both teams?
Over their last 3 matches in all competitions, Aeti have 1 win, 0 draws and 2 defeats; Chikhura Sachkhere 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 5, 2011 | Imereti(home) | 1-0 | Erovnuli Liga 2 |
| Aug 29, 2011 | Skuri(away) | 0-1 | Erovnuli Liga 2 |
| Aug 24, 2011 | Zooveti(home) | 1-2 | Erovnuli Liga 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 4, 2011 | Skuri(home) | 4-1 | Erovnuli Liga 2 |
| Aug 29, 2011 | Zooveti(away) | 3-0 | Erovnuli Liga 2 |
| Aug 23, 2011 | Sulori(home) | 1-0 | Erovnuli Liga 2 |
How many goals should we expect?
Aeti score 0.7 and concede 1.0 goals per match over their last 3; Chikhura Sachkhere score 2.7 and concede 0.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Aeti | 0.7 | 1.0 | 1 | 1/3 | 1/3 |
| Chikhura Sachkhere | 2.7 | 0.3 | 2 | 1/3 | 2/3 |
Over the last 3 matches in all competitions.
A question about Aeti vs Chikhura Sachkhere?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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