Zvezda Perm vs Nosta: result 6-0 and analysis
Second League - Group 4Group 4 - 13Kick-off on October 25, 2020 at 12:00 PM (UTC)
Full time
What was the result of Zvezda Perm vs Nosta?
Zvezda Perm won 6-0 on October 25, 2020.
Goalscorers
- 18′E. TyukalovZvezda Perm
- 29′E. TyukalovZvezda Perm
- 37′M. LaukZvezda Perm (pen.)
- 51′N. GoldobinZvezda Perm
- 66′M. LaukZvezda Perm
- 78′N. GoldobinZvezda Perm
What is the recent form of both teams?
Over their last 15 matches in all competitions, Zvezda Perm have 6 wins, 3 draws and 6 defeats; Nosta have 5, 1 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 18, 2020 | Volna Nizhegorodskaya(away) | 2-1 | Second League - Group 4 |
| Oct 13, 2020 | Volga Ulyanovsk(home) | 1-1 | Second League - Group 4 |
| Oct 11, 2020 | Zenit W(home) | 2-0 | Supreme Division Women |
| Oct 8, 2020 | Zenit Izhevsk(home) | 1-0 | Second League - Group 4 |
| Oct 3, 2020 | KAMAZ(away) | 0-3 | Second League - Group 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 13, 2020 | Krylya Sovetov II(away) | 2-1 | Second League - Group 4 |
| Oct 8, 2020 | Lada Dimitrovgrad(away) | 1-0 | Second League - Group 4 |
| Oct 3, 2020 | Lada Tolyatti(home) | 7-0 | Second League - Group 4 |
| Sep 27, 2020 | Volna Nizhegorodskaya(home) | 3-3 | Second League - Group 4 |
| Sep 20, 2020 | Volga Ulyanovsk(away) | 0-2 | Second League - Group 4 |
How many goals should we expect?
Zvezda Perm score 1.3 and concede 1.3 goals per match over their last 15; Nosta score 1.5 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Zvezda Perm | 1.3 | 1.3 | 4 | 6/15 | 9/15 |
| Nosta | 1.5 | 1.7 | 2 | 6/14 | 10/14 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Nosta | 22 | 4 | 6 | 12 | 20 | 48 | 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