Znamya Noginsk vs Krylia Sovetov: result 0-10 and analysis
CupGroup Stage - 3Kick-off on September 22, 2021 at 01:00 PM (UTC)Stadion Znamya, Noginsk
Full time
What was the result of Znamya Noginsk vs Krylia Sovetov?
Krylia Sovetov won 0-10 on September 22, 2021.
Goalscorers
- 9′D. LipovoyKrylia Sovetov
- 20′D. TsypchenkoKrylia Sovetov
- 22′S. PinyaevKrylia Sovetov
- 30′S. PinyaevKrylia Sovetov
- 64′D. TsypchenkoKrylia Sovetov
- 71′D. TsypchenkoKrylia Sovetov
- 77′D. YakubaKrylia Sovetov
- 83′I. SergeevKrylia Sovetov
- 84′I. SergeevKrylia Sovetov
- 89′G. BijlKrylia Sovetov
What is the recent form of both teams?
Over their last 15 matches in all competitions, Znamya Noginsk have 8 wins, 1 draws and 6 defeats; Krylia Sovetov have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 18, 2021 | Khimki II(away) | 2-1 | Second League - Group 3 |
| Sep 14, 2021 | Saturn Ramenskoye(home) | 0-1 | Second League - Group 3 |
| Sep 7, 2021 | Metallurg Vidnoye(away) | 3-2 | Second League - Group 3 |
| Sep 3, 2021 | Peresvet Podolsk(home) | 0-2 | Second League - Group 3 |
| Aug 29, 2021 | Rodina Moskva(away) | 0-3 | Second League - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 18, 2021 | FC Rostov(home) | 4-2 | Premier League |
| Sep 11, 2021 | Lokomotiv(away) | 0-2 | Premier League |
| Aug 26, 2021 | FC UFA(away) | 2-1 | Premier League |
| Aug 21, 2021 | FC Sochi(home) | 1-0 | Premier League |
| Aug 15, 2021 | Rubin(away) | 1-1 | Premier League |
How many goals should we expect?
Znamya Noginsk score 1.7 and concede 1.9 goals per match over their last 15; Krylia Sovetov score 1.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Znamya Noginsk | 1.7 | 1.9 | 3 | 6/15 | 10/15 |
| Krylia Sovetov | 1.7 | 1.3 | 4 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
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