Dinamo Tbilisi II vs Shukura: result 3-4 and analysis
Erovnuli Liga 2Group A - 2Kick-off on September 5, 2013 at 12:00 PM (UTC)Vitali Daraselias Sakhelobis Dinamos Sapekhburto Akademia, Tbilisi
Full time
What was the result of Dinamo Tbilisi II vs Shukura?
Shukura won 3-4 on September 5, 2013.
Goalscorers
- 2′B. MakharoblidzeDinamo Tbilisi II
- 24′107555Dinamo Tbilisi II
- 31′107555Dinamo Tbilisi II
- 38′Mikheil KakaladzeShukura
- 48′G. ChelebadzeShukura
- 65′256555Shukura
- 69′255671Shukura
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dinamo Tbilisi II have 9 wins, 4 draws and 2 defeats; Shukura have 10, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 31, 2013 | Gagra(home) | 1-1 | Erovnuli Liga 2 |
| May 27, 2013 | Imereti(away) | 4-1 | Erovnuli Liga 2 |
| May 21, 2013 | Betlemi(home) | 5-0 | Erovnuli Liga 2 |
| May 17, 2013 | Skuri(away) | 0-0 | Erovnuli Liga 2 |
| May 13, 2013 | Meshakhte(home) | 8-0 | Erovnuli Liga 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 25, 2013 | Adeli(away) | 2-1 | Erovnuli Liga 2 |
| May 21, 2013 | Liakhvi Achabeti(home) | 4-0 | Erovnuli Liga 2 |
| May 17, 2013 | Mertskhali(away) | 1-1 | Erovnuli Liga 2 |
| May 13, 2013 | Algeti(home) | 1-0 | Erovnuli Liga 2 |
| May 9, 2013 | Samgurali(away) | 4-2 | Erovnuli Liga 2 |
How many goals should we expect?
Dinamo Tbilisi II score 2.5 and concede 0.9 goals per match over their last 15; Shukura score 2.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dinamo Tbilisi II | 2.5 | 0.9 | 6 | 7/15 | 9/15 |
| Shukura | 2.1 | 0.9 | 5 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Dinamo Tbilisi II | 36 | 6 | 10 | 20 | 41 | 76 | 28 |
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