Rustavi vs Dinamo Batumi: result 0-2 and analysis
Erovnuli LigaRegular Season - 8Kick-off on April 13, 2019 at 03:00 PM (UTC)Teknikuri Tsentri, Rustavi
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What was the result of Rustavi vs Dinamo Batumi?
Dinamo Batumi won 0-2 on April 13, 2019.
Goalscorers
- 39′FlamarionDinamo Batumi
- 82′T. GaprindashviliDinamo Batumi
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rustavi have 2 wins, 5 draws and 8 defeats; Dinamo Batumi have 10, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 7, 2019 | Dinamo Tbilisi(away) | 1-3 | Erovnuli Liga |
| Apr 3, 2019 | Sioni(home) | 1-1 | Erovnuli Liga |
| Mar 31, 2019 | Torpedo Kutaisi(away) | 0-2 | Erovnuli Liga |
| Mar 16, 2019 | Chikhura Sachkhere(home) | 1-1 | Erovnuli Liga |
| Mar 10, 2019 | Saburtalo(away) | 1-2 | Erovnuli Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 7, 2019 | Sioni(away) | 4-2 | Erovnuli Liga |
| Apr 2, 2019 | Chikhura Sachkhere(home) | 0-0 | Erovnuli Liga |
| Mar 30, 2019 | WIT Georgia(away) | 1-0 | Erovnuli Liga |
| Mar 16, 2019 | Dila(home) | 1-0 | Erovnuli Liga |
| Mar 10, 2019 | Dinamo Tbilisi(away) | 1-0 | Erovnuli Liga |
How many goals should we expect?
Rustavi score 0.9 and concede 1.5 goals per match over their last 15; Dinamo Batumi score 1.5 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rustavi | 0.9 | 1.5 | 4 | 8/15 | 8/15 |
| Dinamo Batumi | 1.5 | 0.8 | 7 | 4/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Rustavi sit 1st in Erovnuli Liga (41 points from 22 matches) and Dinamo Batumi sit 4th (34 points from 22 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Rustavi | 22 | 12 | 5 | 5 | 29 | 18 | 41 |
| 4 | Dinamo Batumi | 22 | 9 | 7 | 6 | 35 | 32 | 34 |
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