Aragvi Dusheti vs Shevardeni 1906: result 1-3 and analysis
Erovnuli Liga 2Regular Season - 7Kick-off on August 11, 2020 at 01:30 PM (UTC)David Petriashvili Arena, Tbilisi
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What was the result of Aragvi Dusheti vs Shevardeni 1906?
Shevardeni 1906 won 1-3 on August 11, 2020.
Goalscorers
- 24′Nika KoridzeShevardeni 1906
- 35′Toma KhubashviliShevardeni 1906
- 45′Gogita GoguaShevardeni 1906 (pen.)
- 76′Zviad KantariaAragvi Dusheti
What is the recent form of both teams?
Over their last 6 matches in all competitions, Aragvi Dusheti have 0 wins, 3 draws and 3 defeats; Shevardeni 1906 have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 5, 2020 | Samgurali(away) | 0-2 | Erovnuli Liga 2 |
| Jul 28, 2020 | Zugdidi(away) | 1-1 | Erovnuli Liga 2 |
| Jul 20, 2020 | Shukura(home) | 1-2 | Erovnuli Liga 2 |
| Jul 14, 2020 | Merani Martvili(away) | 0-2 | Erovnuli Liga 2 |
| Mar 10, 2020 | Gagra(home) | 0-0 | Erovnuli Liga 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 4, 2020 | Zugdidi(home) | 3-1 | Erovnuli Liga 2 |
| Jul 27, 2020 | Shukura(away) | 0-6 | Erovnuli Liga 2 |
| Jul 21, 2020 | Merani Martvili(home) | 0-3 | Erovnuli Liga 2 |
| Jul 13, 2020 | Gagra(away) | 3-2 | Erovnuli Liga 2 |
| Mar 9, 2020 | WIT Georgia(home) | 2-4 | Erovnuli Liga 2 |
How many goals should we expect?
Aragvi Dusheti score 0.3 and concede 1.2 goals per match over their last 6; Shevardeni 1906 score 0.9 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Aragvi Dusheti | 0.3 | 1.2 | 2 | 2/6 | 1/6 |
| Shevardeni 1906 | 0.9 | 2.7 | 1 | 6/15 | 11/15 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Aragvi Dusheti | 22 | 9 | 4 | 9 | 23 | 27 | 31 |
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