Krasnyy-SGAFKST vs Saturn Ramenskoye: result 1-1 and analysis
Second League - Group 3Group 3 - 7Kick-off on September 20, 2020 at 02:00 PM (UTC)
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What was the result of Krasnyy-SGAFKST vs Saturn Ramenskoye?
Krasnyy-SGAFKST and Saturn Ramenskoye drew 1-1 on September 20, 2020.
Goalscorers
- 40′Konstantin KorzhSaturn Ramenskoye
- 74′A. MokhammadKrasnyy-SGAFKST
What is the recent form of both teams?
Over their last 9 matches in all competitions, Krasnyy-SGAFKST have 2 wins, 3 draws and 4 defeats; Saturn Ramenskoye have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 12, 2020 | Metallurg Lipetsk(away) | 0-0 | Second League - Group 3 |
| Sep 6, 2020 | Strogino(home) | 0-1 | Second League - Group 3 |
| Aug 29, 2020 | Salyut-Belgorod(away) | 0-0 | Second League - Group 3 |
| Aug 23, 2020 | Znamya Noginsk(home) | 1-1 | Second League - Group 3 |
| Aug 15, 2020 | Fakel II(away) | 2-1 | Second League - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 12, 2020 | FK Sokol Saratov(home) | 2-0 | Second League - Group 3 |
| 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 |
How many goals should we expect?
Krasnyy-SGAFKST score 1.0 and concede 1.0 goals per match over their last 9; Saturn Ramenskoye score 1.5 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Krasnyy-SGAFKST | 1.0 | 1.0 | 3 | 3/9 | 4/9 |
| Saturn Ramenskoye | 1.5 | 1.5 | 5 | 6/15 | 9/15 |
Over the last 9 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