Sapovnela vs Kakheti Telavi: result 2-1 and analysis
Erovnuli Liga 2Group A - 24Kick-off on April 30, 2014 at 12:00 PM (UTC)
Full time
What was the result of Sapovnela vs Kakheti Telavi?
Sapovnela won 2-1 on April 30, 2014.
Goalscorers
- 62′T. DarsavelidzeSapovnela
- 74′256103Sapovnela
- 86′255827Kakheti Telavi
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sapovnela have 6 wins, 4 draws and 5 defeats; Kakheti Telavi have 3, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 25, 2014 | Meshakhte(away) | 1-1 | Erovnuli Liga 2 |
| Apr 15, 2014 | Kolkheti Poti(home) | 1-0 | Erovnuli Liga 2 |
| Apr 10, 2014 | Algeti(away) | 3-0 | Erovnuli Liga 2 |
| Apr 2, 2014 | Gagra(away) | 1-3 | Erovnuli Liga 2 |
| Mar 28, 2014 | Chkherimela(home) | 0-1 | Erovnuli Liga 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 25, 2014 | Chkherimela(home) | 2-0 | Erovnuli Liga 2 |
| Apr 16, 2014 | Shukura(away) | 0-2 | Erovnuli Liga 2 |
| Apr 10, 2014 | Dinamo Tbilisi II(home) | 2-5 | Erovnuli Liga 2 |
| Mar 27, 2014 | Adeli(home) | 4-1 | Erovnuli Liga 2 |
| Mar 23, 2014 | Imereti(away) | 0-4 | Erovnuli Liga 2 |
What does the head-to-head say?
Across the last 1 meetings: 1 Sapovnela win(s), 0 draw(s), 0 Kakheti Telavi win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 12, 2013 | Kakheti Telavi 2-5 Sapovnela | Erovnuli Liga 2 |
Last archived meeting: Kakheti Telavi vs Sapovnela on Nov 12, 2013
How many goals should we expect?
Sapovnela score 1.6 and concede 1.2 goals per match over their last 15; Kakheti Telavi score 1.3 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sapovnela | 1.6 | 1.2 | 6 | 6/15 | 7/15 |
| Kakheti Telavi | 1.3 | 2.7 | 1 | 10/15 | 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