Gareji vs Aragvi Dusheti: result 0-1 and analysis
Erovnuli Liga 2Regular Season - 1Kick-off on March 7, 2024 at 11:00 AM (UTC)
Full time
What was the result of Gareji vs Aragvi Dusheti?
Aragvi Dusheti won 0-1 on March 7, 2024.
Goalscorers
- 28′D. KupatadzeAragvi Dusheti (o.g.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gareji have 7 wins, 4 draws and 4 defeats; Aragvi Dusheti have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 24, 2024 | Saburtalo(away) | 2-5 | Friendlies Clubs |
| Dec 10, 2023 | Samtredia(home) | 3-1 | Erovnuli Liga |
| Dec 6, 2023 | Samtredia(away) | 1-4 | Erovnuli Liga |
| Dec 2, 2023 | Kolkheti Poti(home) | 1-1 | Erovnuli Liga 2 |
| Nov 28, 2023 | WIT Georgia(away) | 0-2 | Erovnuli Liga 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 27, 2023 | Betlemi(away) | 1-4 | David Kipiani Cup |
| May 14, 2023 | Algeti(away) | 2-0 | David Kipiani Cup |
| Dec 10, 2022 | WIT Georgia(home) | 0-1 | Erovnuli Liga 2 |
| Dec 6, 2022 | WIT Georgia(away) | 0-0 | Erovnuli Liga 2 |
| May 26, 2022 | Dinamo Tbilisi II(home) | 1-2 | David Kipiani Cup |
How many goals should we expect?
Gareji score 2.2 and concede 1.7 goals per match over their last 15; Aragvi Dusheti score 0.8 and concede 3.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gareji | 2.2 | 1.7 | 2 | 12/15 | 10/15 |
| Aragvi Dusheti | 0.8 | 3.0 | 3 | 6/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Gareji sit 1st in Erovnuli Liga 2 (43 points from 22 matches) and Aragvi Dusheti sit 5th (31 points from 22 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Gareji | 22 | 12 | 7 | 3 | 27 | 16 | 43 |
| 5 | Aragvi Dusheti | 22 | 9 | 4 | 9 | 23 | 27 | 31 |
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