Merani Tbilisi vs Dinamo Batumi: result 0-0 and analysis
Erovnuli Liga 2Regular Season - 15Kick-off on June 18, 2018 at 01:30 PM (UTC)Sport-kompleksi Shatili, Tbilisi
Full time
What was the result of Merani Tbilisi vs Dinamo Batumi?
Merani Tbilisi and Dinamo Batumi drew 0-0 on June 18, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Merani Tbilisi have 9 wins, 0 draws and 6 defeats; Dinamo Batumi have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 10, 2018 | Tskhinvali(away) | 0-1 | Erovnuli Liga 2 |
| May 24, 2018 | Gagra(home) | 3-2 | Erovnuli Liga 2 |
| May 17, 2018 | Samgurali(home) | 3-0 | Erovnuli Liga 2 |
| May 12, 2018 | Shevardeni 1906(away) | 1-2 | Erovnuli Liga 2 |
| May 4, 2018 | Shukura(home) | 3-0 | Erovnuli Liga 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 8, 2018 | Samgurali(home) | 1-1 | Erovnuli Liga 2 |
| May 24, 2018 | Shevardeni 1906(away) | 1-0 | Erovnuli Liga 2 |
| May 18, 2018 | Shukura(home) | 1-1 | Erovnuli Liga 2 |
| May 11, 2018 | WIT Georgia(away) | 0-0 | Erovnuli Liga 2 |
| May 5, 2018 | Telavi(home) | 1-0 | Erovnuli Liga 2 |
What does the head-to-head say?
Across the last 1 meetings: 0 Merani Tbilisi win(s), 0 draw(s), 1 Dinamo Batumi win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 15, 2018 | Dinamo Batumi 3-2 Merani Tbilisi | Erovnuli Liga 2 |
Last archived meeting: Dinamo Batumi vs Merani Tbilisi on Apr 15, 2018
How many goals should we expect?
Merani Tbilisi score 2.1 and concede 1.3 goals per match over their last 15; Dinamo Batumi score 1.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Merani Tbilisi | 2.1 | 1.3 | 4 | 8/15 | 10/15 |
| Dinamo Batumi | 1.1 | 0.9 | 6 | 5/15 | 4/15 |
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