Zvezda Perm vs Krylya Sovetov II: result 3-1 and analysis
Second League - Group 4Group 4 - 5Kick-off on September 6, 2020 at 12:00 PM (UTC)Stadion Zvezda, Perm'
Full time
What was the result of Zvezda Perm vs Krylya Sovetov II?
Zvezda Perm won 3-1 on September 6, 2020.
Goalscorers
- 6′Aleksandr SubbotinZvezda Perm
- 24′M. LaukZvezda Perm (pen.)
- 48′V. TyurinKrylya Sovetov II
- 54′E. TyukalovZvezda Perm (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Zvezda Perm have 7 wins, 6 draws and 2 defeats; Krylya Sovetov II have 1, 0 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 2, 2020 | Chelyabinsk(home) | 3-1 | Cup |
| Aug 31, 2020 | Ryazan W(away) | 0-0 | Supreme Division Women |
| Aug 26, 2020 | CSKA Moskva W(home) | 0-1 | Supreme Division Women |
| Aug 26, 2020 | Novosibirsk(away) | 1-2 | Second League - Group 4 |
| Aug 23, 2020 | Dinamo Barnaul(away) | 1-1 | Second League - Group 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 29, 2020 | Volna Nizhegorodskaya(home) | 1-2 | Second League - Group 4 |
| Aug 23, 2020 | Volga Ulyanovsk(away) | 0-1 | Second League - Group 4 |
| Aug 15, 2020 | Zenit Izhevsk(home) | 3-0 | Second League - Group 4 |
| Aug 9, 2020 | KAMAZ(away) | 0-6 | Second League - Group 4 |
How many goals should we expect?
Zvezda Perm score 1.7 and concede 1.0 goals per match over their last 15; Krylya Sovetov II score 1.0 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Zvezda Perm | 1.7 | 1.0 | 5 | 9/15 | 7/15 |
| Krylya Sovetov II | 1.0 | 2.3 | 1 | 1/4 | 3/4 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Krylya Sovetov II | 22 | 6 | 9 | 7 | 25 | 26 | 27 |
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