Gareji vs Shukura: prediction and stats
Erovnuli Liga 2Regular Season - 26Kick-off on September 29, 2022 at 11:00 AM (UTC)
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gareji have 5 wins, 1 draws and 9 defeats; Shukura have 11, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2022 | Merani Tbilisi(away) | 0-1 | Erovnuli Liga 2 |
| Sep 11, 2022 | WIT Georgia(home) | 1-0 | Erovnuli Liga 2 |
| Sep 4, 2022 | Merani Martvili(away) | 2-3 | Erovnuli Liga 2 |
| Aug 28, 2022 | Samtredia(home) | 4-0 | Erovnuli Liga 2 |
| Aug 21, 2022 | Shukura(away) | 0-3 | Erovnuli Liga 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 18, 2022 | Samtredia(away) | 1-0 | Erovnuli Liga 2 |
| Sep 14, 2022 | Lokomotivi Tbilisi(home) | 2-0 | David Kipiani Cup |
| Sep 10, 2022 | Spaeri(home) | 0-2 | Erovnuli Liga 2 |
| Sep 3, 2022 | Merani Tbilisi(away) | 1-0 | Erovnuli Liga 2 |
| Aug 28, 2022 | Merani Martvili(home) | 1-2 | Erovnuli Liga 2 |
What does the head-to-head say?
Across the last 3 meetings: 0 Gareji win(s), 1 draw(s), 2 Shukura win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 21, 2022 | Shukura 3-0 Gareji | Erovnuli Liga 2 |
| Jun 26, 2022 | Shukura 3-1 Gareji | Erovnuli Liga 2 |
| Apr 21, 2022 | Gareji 1-1 Shukura | Erovnuli Liga 2 |
How many goals should we expect?
Gareji score 1.3 and concede 1.7 goals per match over their last 15; Shukura score 1.8 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gareji | 1.3 | 1.7 | 5 | 5/15 | 8/15 |
| Shukura | 1.8 | 0.7 | 8 | 6/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 1 | Gareji | 22 | 12 | 7 | 3 | 27 | 16 | 43 |
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