Matchakhela vs Sasco: result 2-0 and analysis
Erovnuli Liga 2Group B - 3Kick-off on September 12, 2013 at 12:00 PM (UTC)Tsentraluri Stadioni, Khelvachauri
Full time
What was the result of Matchakhela vs Sasco?
Matchakhela won 2-0 on September 12, 2013.
Goalscorers
- 27′256378Matchakhela
- 82′256118Matchakhela
Official lineup for Matchakhela vs Sasco
The starting elevens fielded at kick-off.
Matchakhela
- LL. Ramishvili
- GG. Palavandishvili
- ZZ. Ananidze
- NN. Shonia
- II. Kutalia
- DD. Dolidze
- AA. Labadze
- MM. Davitadze
- DD. Beruashvili
- LL. Khokhonishvili
- CCharlemagne Akmel
Sasco
- IIlia Kavtaradze
- GG. Shetsiruli
- OO. Chapidze
- LL. Bratchuli
- GG. Berishvili
- DD. Kutchukhidze
- TT. Mogeladze
- GG. Arakhamia
- GG. Machaidze
- GGiorgi Papunashvili
- DDavit Abesadze
What is the recent form of both teams?
In their last match in all competitions, Matchakhela have 1 win, 0 draws and 0 defeats; Sasco have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 31, 2013 | Bakhmaro(home) | 4-1 | Erovnuli Liga 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 5, 2013 | Betlemi(home) | 0-0 | Erovnuli Liga 2 |
| Aug 31, 2013 | Dinamo Batumi(away) | 1-2 | Erovnuli Liga 2 |
| May 27, 2013 | Chiatura(away) | 0-3 | Erovnuli Liga 2 |
| May 22, 2013 | Imereti(home) | 4-2 | Erovnuli Liga 2 |
| May 17, 2013 | Betlemi(away) | 0-0 | Erovnuli Liga 2 |
How many goals should we expect?
Matchakhela score 4.0 and concede 1.0 goals per match in their last match; Sasco score 1.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Matchakhela | 4.0 | 1.0 | 0 | 1/1 | 1/1 |
| Sasco | 1.7 | 1.3 | 3 | 10/15 | 10/15 |
Over the last match in all competitions.
A question about Matchakhela vs Sasco?
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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