Spaeri vs Dinamo Zugdidi: prediction and stats
Erovnuli Liga 2Regular Season - 25Kick-off on September 18, 2022 at 11:00 AM (UTC)
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Spaeri have 8 wins, 5 draws and 2 defeats; Dinamo Zugdidi have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2022 | Torpedo Kutaisi(home) | 0-1 | David Kipiani Cup |
| Sep 10, 2022 | Shukura(away) | 2-0 | Erovnuli Liga 2 |
| Sep 4, 2022 | Rustavi(home) | 2-0 | Erovnuli Liga 2 |
| Aug 28, 2022 | WIT Georgia(away) | 5-1 | Erovnuli Liga 2 |
| Aug 21, 2022 | Samtredia(home) | 1-1 | Erovnuli Liga 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 22, 2022 | WIT Georgia(away) | 3-3 | Erovnuli Liga 2 |
| May 16, 2022 | Shevardeni 1906(home) | 0-0 | Erovnuli Liga 2 |
| May 10, 2022 | Merani Tbilisi(away) | 0-3 | Erovnuli Liga 2 |
| May 5, 2022 | Gareji(home) | 4-0 | Erovnuli Liga 2 |
| Apr 29, 2022 | Merani Martvili(home) | 0-1 | Erovnuli Liga 2 |
What does the head-to-head say?
Across the last 1 meetings: 0 Spaeri win(s), 0 draw(s), 1 Dinamo Zugdidi win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 16, 2022 | Spaeri 2-5 Dinamo Zugdidi | Erovnuli Liga 2 |
Last archived meeting: Spaeri vs Dinamo Zugdidi on Apr 16, 2022
How many goals should we expect?
Spaeri score 2.0 and concede 1.3 goals per match over their last 15; Dinamo Zugdidi score 1.6 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Spaeri | 2.0 | 1.3 | 2 | 11/15 | 9/15 |
| Dinamo Zugdidi | 1.6 | 1.6 | 4 | 7/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Spaeri | 36 | 17 | 13 | 6 | 54 | 34 | 64 |
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