Spaeri vs Dinamo Zugdidi: result 2-5 and analysis
Erovnuli Liga 2Regular Season - 7Kick-off on April 16, 2022 at 12:00 PM (UTC)
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What was the result of Spaeri vs Dinamo Zugdidi?
Dinamo Zugdidi won 2-5 on April 16, 2022.
Goalscorers
- 43′D. NatchkebiaSpaeri
- 45′255663Spaeri
- 50′G. AkhaladzeDinamo Zugdidi (pen.)
- 54′A. KhunjguruaDinamo Zugdidi
- 56′R. ChkhaidzeDinamo Zugdidi
- 80′A. KhunjguruaDinamo Zugdidi
- 82′M. TshwaleDinamo Zugdidi
What is the recent form of both teams?
Over their last 12 matches in all competitions, Spaeri have 5 wins, 1 draws and 6 defeats; Dinamo Zugdidi have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 11, 2022 | Rustavi(away) | 2-0 | Erovnuli Liga 2 |
| Apr 6, 2022 | Samtredia(home) | 0-1 | Erovnuli Liga 2 |
| Apr 1, 2022 | Shukura(away) | 1-3 | Erovnuli Liga 2 |
| Mar 25, 2022 | WIT Georgia(away) | 1-1 | Erovnuli Liga 2 |
| Mar 7, 2022 | Shevardeni 1906(home) | 1-2 | Erovnuli Liga 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 11, 2022 | Shukura(home) | 2-2 | Erovnuli Liga 2 |
| Apr 1, 2022 | Samtredia(away) | 1-3 | Erovnuli Liga 2 |
| Mar 25, 2022 | Shevardeni 1906(away) | 0-1 | Erovnuli Liga 2 |
| Mar 19, 2022 | WIT Georgia(home) | 2-0 | Erovnuli Liga 2 |
| Mar 7, 2022 | Merani Tbilisi(home) | 1-0 | Erovnuli Liga 2 |
How many goals should we expect?
Spaeri score 1.8 and concede 1.1 goals per match over their last 12; Dinamo Zugdidi score 1.5 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Spaeri | 1.8 | 1.1 | 3 | 5/12 | 5/12 |
| Dinamo Zugdidi | 1.5 | 1.6 | 3 | 9/15 | 9/15 |
Over the last 12 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