Zvezda St. Petersburg vs Dolgoprudny: result 0-1 and analysis
Second League - Group 2Group 2 - 7Kick-off on September 20, 2020 at 12:00 PM (UTC)Stadion Nova Arena, Sankt-Peterburg (St. Petersburg)
Full time
What was the result of Zvezda St. Petersburg vs Dolgoprudny?
Dolgoprudny won 0-1 on September 20, 2020.
Goalscorers
- 10′Evgeni KharchenkoDolgoprudny
What is the recent form of both teams?
Over their last 8 matches in all competitions, Zvezda St. Petersburg have 1 wins, 2 draws and 5 defeats; Dolgoprudny 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 | Kazanka(away) | 1-4 | Second League - Group 2 |
| Sep 6, 2020 | Murom(home) | 0-0 | Second League - Group 2 |
| Aug 28, 2020 | Rodina Moskva(away) | 2-3 | Second League - Group 2 |
| Aug 23, 2020 | Torpedo Vladimir(home) | 1-0 | Second League - Group 2 |
| Aug 19, 2020 | Leningradets(home) | 1-2 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 12, 2020 | Leningradets(away) | 2-0 | Second League - Group 2 |
| Sep 6, 2020 | Dinamo Moskva II(away) | 0-3 | Second League - Group 2 |
| Sep 2, 2020 | Leningradets(away) | 1-2 | Cup |
| Aug 29, 2020 | Smolensk(away) | 1-0 | Second League - Group 2 |
| Aug 22, 2020 | Luki-Energiya(away) | 1-0 | Second League - Group 2 |
How many goals should we expect?
Zvezda St. Petersburg score 0.6 and concede 1.9 goals per match over their last 8; Dolgoprudny score 1.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Zvezda St. Petersburg | 0.6 | 1.9 | 3 | 3/8 | 4/8 |
| Dolgoprudny | 1.1 | 1.5 | 6 | 5/15 | 7/15 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Zvezda St. Petersburg | 11 | 2 | 6 | 3 | 10 | 15 | 12 |
| 11 | Zvezda St. Petersburg | 18 | 4 | 9 | 5 | 24 | 26 | 21 |
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