Sapovnela vs Mertskhali: result 3-0 and analysis
Erovnuli Liga 2Group B - 11Kick-off on October 28, 2014 at 11:00 AM (UTC)
Full time
What was the result of Sapovnela vs Mertskhali?
Sapovnela won 3-0 on October 28, 2014.
Goalscorers
- 22′Shalva TskipurishviliSapovnela
- 27′G. Tkeshelashvili IISapovnela
- 86′255580Sapovnela
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sapovnela have 8 wins, 5 draws and 2 defeats; Mertskhali 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 |
|---|---|---|---|
| Oct 22, 2014 | Meshakhte(away) | 3-1 | Erovnuli Liga 2 |
| Oct 16, 2014 | Dinamo Tbilisi II(home) | 1-0 | Erovnuli Liga 2 |
| Oct 11, 2014 | Borjomi(away) | 0-0 | Erovnuli Liga 2 |
| Oct 7, 2014 | Betlemi(home) | 0-1 | Erovnuli Liga 2 |
| Sep 27, 2014 | Gagra(away) | 1-0 | Erovnuli Liga 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2014 | Borjomi(home) | 2-0 | Erovnuli Liga 2 |
| Oct 16, 2014 | Betlemi(home) | 0-0 | Erovnuli Liga 2 |
| Oct 11, 2014 | Gagra(away) | 1-6 | Erovnuli Liga 2 |
| Oct 7, 2014 | Skuri(home) | 1-1 | Erovnuli Liga 2 |
| Sep 27, 2014 | Algeti(away) | 2-1 | Erovnuli Liga 2 |
What does the head-to-head say?
Across the last 3 meetings: 1 Sapovnela win(s), 1 draw(s), 1 Mertskhali win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 1, 2014 | Mertskhali 2-2 Sapovnela | Erovnuli Liga 2 |
| May 4, 2014 | Mertskhali 4-2 Sapovnela | Erovnuli Liga 2 |
| Nov 19, 2013 | Sapovnela 2-0 Mertskhali | Erovnuli Liga 2 |
Last archived meeting: Mertskhali vs Sapovnela on Sep 1, 2014
How many goals should we expect?
Sapovnela score 1.1 and concede 0.7 goals per match over their last 15; Mertskhali score 1.6 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sapovnela | 1.1 | 0.7 | 8 | 6/15 | 5/15 |
| Mertskhali | 1.6 | 2.5 | 2 | 11/15 | 12/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy