Spaeri vs Shukura: prediction and stats
Erovnuli Liga 2Regular Season - 32Kick-off on October 30, 2022 at 10:00 AM (UTC)
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Spaeri have 7 wins, 3 draws and 5 defeats; Shukura have 11, 0 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2022 | WIT Georgia(home) | 4-0 | Erovnuli Liga 2 |
| Oct 15, 2022 | Samtredia(away) | 1-2 | Erovnuli Liga 2 |
| Oct 9, 2022 | Gareji(home) | 0-2 | Erovnuli Liga 2 |
| Oct 1, 2022 | Merani Tbilisi(away) | 4-0 | Erovnuli Liga 2 |
| Sep 18, 2022 | Merani Martvili(home) | 2-4 | Erovnuli Liga 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2022 | Merani Martvili(away) | 4-0 | Erovnuli Liga 2 |
| Oct 16, 2022 | Gareji(away) | 2-1 | Erovnuli Liga 2 |
| Oct 12, 2022 | Saburtalo(home) | 0-2 | David Kipiani Cup |
| Oct 8, 2022 | Rustavi(away) | 3-1 | Erovnuli Liga 2 |
| Oct 1, 2022 | WIT Georgia(home) | 1-2 | Erovnuli Liga 2 |
What does the head-to-head say?
Across the last 3 meetings: 2 Spaeri wins, 0 draws, 1 Shukura win.
| Date | Score | Competition |
|---|---|---|
| Sep 10, 2022 | Shukura 0-2 Spaeri | Erovnuli Liga 2 |
| 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?
Spaeri score 1.9 and concede 1.2 goals per match over their last 15; Shukura score 1.9 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Spaeri | 1.9 | 1.2 | 4 | 8/15 | 8/15 |
| Shukura | 1.9 | 0.9 | 7 | 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 |
|---|---|---|---|---|---|---|---|---|
| 2 | Spaeri | 36 | 17 | 13 | 6 | 54 | 34 | 64 |
A question about Spaeri vs Shukura?
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