Strogino vs Dinamo St. Petersburg: result 0-1 and analysis
Second League - Group 3Group 3 - 6Kick-off on May 3, 2025 at 10:00 AM (UTC)Stadion Rublevo, Moskva
Full time
What was the result of Strogino vs Dinamo St. Petersburg?
Dinamo St. Petersburg won 0-1 on May 3, 2025.
Goalscorers
- 5′R. UmarovDinamo St. Petersburg
What is the recent form of both teams?
Over their last 15 matches in all competitions, Strogino have 5 wins, 3 draws and 7 defeats; Dinamo St. Petersburg 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 |
|---|---|---|---|
| Apr 27, 2025 | Rodina Moskva III(away) | 1-1 | Second League - Group 3 |
| Apr 19, 2025 | Metallurg Lipetsk(home) | 0-3 | Second League - Group 3 |
| Apr 12, 2025 | Ryazan(away) | 1-3 | Second League - Group 3 |
| Apr 5, 2025 | Rotor-2(home) | 3-2 | Second League - Group 3 |
| Mar 28, 2025 | Khimki II(away) | 0-0 | Second League - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 27, 2025 | Metallurg Lipetsk(away) | 1-0 | Second League - Group 3 |
| Apr 19, 2025 | Rotor-2(home) | 2-2 | Second League - Group 3 |
| Apr 12, 2025 | Zenit Penza(away) | 2-0 | Second League - Group 3 |
| Apr 5, 2025 | Salyut-Belgorod(home) | 1-1 | Second League - Group 3 |
| Mar 29, 2025 | Znamya Truda(away) | 0-0 | Second League - Group 3 |
How many goals should we expect?
Strogino score 0.7 and concede 1.4 goals per match over their last 15; Dinamo St. Petersburg score 1.7 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Strogino | 0.7 | 1.4 | 5 | 4/15 | 4/15 |
| Dinamo St. Petersburg | 1.7 | 1.2 | 5 | 9/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Strogino | 20 | 6 | 4 | 10 | 24 | 33 | 22 |
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