Zvezda Perm vs Amkar: result 1-3 and analysis
Second League - Group 4Group 4 - 11Kick-off on September 26, 2021 at 12:00 PM (UTC)Stadion Zvezda, Perm'
Full time
What was the result of Zvezda Perm vs Amkar?
Amkar won 1-3 on September 26, 2021.
Goalscorers
- 13′E. TyukalovAmkar
- 29′Ilya KarpukZvezda Perm
- 38′K. MorozovAmkar
- 90′I. MarkelovAmkar (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Zvezda Perm have 7 wins, 3 draws and 5 defeats; Amkar have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 18, 2021 | Orenburg II(away) | 0-0 | Second League - Group 4 |
| Sep 12, 2021 | Volga Ulyanovsk(away) | 0-3 | Second League - Group 4 |
| Sep 5, 2021 | Spartak Tuymazy(away) | 2-3 | Second League - Group 4 |
| Aug 29, 2021 | Nosta(home) | 2-0 | Second League - Group 4 |
| Aug 21, 2021 | Dinamo Barnaul(away) | 1-3 | Second League - Group 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 16, 2021 | Novosibirsk(home) | 1-0 | Second League - Group 4 |
| Sep 5, 2021 | Torpedo Miass(away) | 2-0 | Second League - Group 4 |
| Aug 29, 2021 | Zenit Izhevsk(away) | 1-0 | Second League - Group 4 |
| Aug 21, 2021 | Chelyabinsk(home) | 0-1 | Second League - Group 4 |
| Aug 15, 2021 | Lada Tolyatti(home) | 6-0 | Second League - Group 4 |
How many goals should we expect?
Zvezda Perm score 1.5 and concede 1.1 goals per match over their last 15; Amkar score 1.3 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Zvezda Perm | 1.5 | 1.1 | 8 | 4/15 | 7/15 |
| Amkar | 1.3 | 0.7 | 9 | 3/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Amkar | 25 | 19 | 3 | 3 | 60 | 19 | 60 |
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