Saturn Ramenskoye vs Dinamo Moskva II: result 1-0 and analysis
Second League - Group 2Group 2 - 5Kick-off on May 5, 2024 at 11:00 AM (UTC)Leon Arena, Ramenskoe
Full time
What was the result of Saturn Ramenskoye vs Dinamo Moskva II?
Saturn Ramenskoye won 1-0 on May 5, 2024.
Goalscorers
- 20′I. VorotnikovSaturn Ramenskoye
What is the recent form of both teams?
Over their last 15 matches in all competitions, Saturn Ramenskoye have 5 wins, 3 draws and 7 defeats; Dinamo Moskva II have 10, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 28, 2024 | Tver(away) | 3-2 | Second League - Group 2 |
| Apr 15, 2024 | Spartak Moscow 2(away) | 0-1 | Second League - Group 2 |
| Apr 6, 2024 | Zenit 2(away) | 0-5 | Second League - Group 2 |
| Nov 12, 2023 | Kompozit(away) | 0-4 | Second League - Group 3 |
| Nov 5, 2023 | Peresvet Podolsk(home) | 3-1 | Second League - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 28, 2024 | Irkutsk(home) | 6-1 | Second League - Group 2 |
| Apr 21, 2024 | Spartak Moscow 2(away) | 2-2 | Second League - Group 2 |
| Apr 13, 2024 | Zenit 2(home) | 1-0 | Second League - Group 2 |
| Apr 6, 2024 | Zvezda St. Petersburg(away) | 3-0 | Second League - Group 2 |
| Nov 12, 2023 | Zenit 2(home) | 1-3 | Second League - Group 2 |
How many goals should we expect?
Saturn Ramenskoye score 1.4 and concede 1.7 goals per match over their last 15; Dinamo Moskva II score 2.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Saturn Ramenskoye | 1.4 | 1.7 | 3 | 9/15 | 9/15 |
| Dinamo Moskva II | 2.1 | 1.1 | 3 | 10/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Saturn Ramenskoye | 12 | 5 | 3 | 4 | 14 | 15 | 18 |
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