Shukura vs Spaeri: prediction and stats
Erovnuli Liga 2Regular Season - 23Kick-off on September 9, 2022 at 11:00 AM (UTC)Chele Arena, Kobuleti
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Shukura have 10 wins, 2 draws and 3 defeats; Spaeri have 8, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 3, 2022 | Merani Tbilisi(away) | 1-0 | Erovnuli Liga 2 |
| Aug 28, 2022 | Merani Martvili(home) | 1-2 | Erovnuli Liga 2 |
| Aug 21, 2022 | Gareji(home) | 3-0 | Erovnuli Liga 2 |
| Aug 7, 2022 | Gagra(home) | 2-0 | David Kipiani Cup |
| Jul 1, 2022 | Merani Tbilisi(away) | 2-0 | Erovnuli Liga 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Aug 7, 2022 | Merani Tbilisi(away) | 2-2 | David Kipiani Cup |
| Jul 1, 2022 | Gareji(away) | 0-2 | Erovnuli Liga 2 |
What does the head-to-head say?
Across the last 2 meetings: 1 Shukura win, 0 draws, 1 Spaeri win.
| Date | Score | Competition |
|---|---|---|
| May 28, 2022 | Spaeri 2-1 Shukura | Erovnuli Liga 2 |
| Apr 1, 2022 | Shukura 3-1 Spaeri | Erovnuli Liga 2 |
How many goals should we expect?
Shukura score 1.9 and concede 0.9 goals per match over their last 15; Spaeri score 2.2 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Shukura | 1.9 | 0.9 | 7 | 8/15 | 10/15 |
| Spaeri | 2.2 | 1.7 | 1 | 13/15 | 11/15 |
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 |
A question about Shukura vs Spaeri?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy