Saturn Ramenskoye vs FK Sokol Saratov: result 2-0 and analysis
Second League - Group 3Group 3 - 6Kick-off on September 12, 2020 at 02:00 PM (UTC)Leon Arena, Ramenskoe
Full time
What was the result of Saturn Ramenskoye vs FK Sokol Saratov?
Saturn Ramenskoye won 2-0 on September 12, 2020.
Goalscorers
- 63′Konstantin KorzhSaturn Ramenskoye (pen.)
- 89′Konstantin KorzhSaturn Ramenskoye
What is the recent form of both teams?
Over their last 15 matches in all competitions, Saturn Ramenskoye have 6 wins, 3 draws and 6 defeats; FK Sokol Saratov have 6, 6 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 6, 2020 | Metallurg Lipetsk(away) | 2-2 | Second League - Group 3 |
| Aug 29, 2020 | Metallurg Vidnoye(home) | 1-0 | Second League - Group 3 |
| Aug 23, 2020 | Strogino(away) | 0-1 | Second League - Group 3 |
| Aug 15, 2020 | Sakhalin(home) | 3-0 | Second League - Group 3 |
| Aug 9, 2020 | Salyut-Belgorod(away) | 1-2 | Second League - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 7, 2020 | Metallurg Vidnoye(away) | 4-0 | Second League - Group 3 |
| Sep 2, 2020 | Znamya Truda(away) | 0-0 | Cup |
| Aug 29, 2020 | Sakhalin(home) | 4-0 | Second League - Group 3 |
| Aug 23, 2020 | Khimki II(away) | 2-1 | Second League - Group 3 |
| Aug 19, 2020 | Murom(home) | 2-1 | Cup |
How many goals should we expect?
Saturn Ramenskoye score 1.5 and concede 1.5 goals per match over their last 15; FK Sokol Saratov score 1.4 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Saturn Ramenskoye | 1.5 | 1.5 | 5 | 6/15 | 9/15 |
| FK Sokol Saratov | 1.4 | 0.9 | 8 | 5/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 6 | Saturn Ramenskoye | 20 | 10 | 4 | 6 | 36 | 30 | 34 |
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