Amkar vs Lada Tolyatti: result 6-0 and analysis
Second League - Group 4Group 4 - 5Kick-off on August 15, 2021 at 11:00 AM (UTC)Stadion Zvezda, Perm'
Full time
What was the result of Amkar vs Lada Tolyatti?
Amkar won 6-0 on August 15, 2021.
Goalscorers
- 36′P. SolomatinAmkar
- 40′M. GorelishviliAmkar
- 41′E. ChabanovAmkar
- 78′E. TyukalovAmkar
- 88′97730Amkar
- 89′Vladislav ShpitalnyAmkar
What is the recent form of both teams?
Over their last 15 matches in all competitions, Amkar have 6 wins, 5 draws and 4 defeats; Lada Tolyatti have 2, 2 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 7, 2021 | Volga Ulyanovsk(away) | 0-0 | Second League - Group 4 |
| Aug 1, 2021 | Tyumen(home) | 1-1 | Second League - Group 4 |
| Jul 23, 2021 | Irtysh Omsk(away) | 2-1 | Second League - Group 4 |
| Jul 20, 2021 | Dinamo Barnaul(away) | 1-0 | Second League - Group 4 |
| Jul 14, 2021 | Tyumen(home) | 2-2 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 7, 2021 | Zenit Izhevsk(home) | 2-1 | Second League - Group 4 |
| Aug 1, 2021 | Spartak Tuymazy(away) | 2-7 | Second League - Group 4 |
| Jul 24, 2021 | Volga Ulyanovsk(home) | 0-4 | Second League - Group 4 |
| Jul 18, 2021 | Chelyabinsk(home) | 0-3 | Second League - Group 4 |
| Jul 14, 2021 | Spartak Tuymazy(home) | 0-4 | Cup |
How many goals should we expect?
Amkar score 0.9 and concede 1.0 goals per match over their last 15; Lada Tolyatti score 0.5 and concede 3.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Amkar | 0.9 | 1.0 | 7 | 4/15 | 5/15 |
| Lada Tolyatti | 0.5 | 3.9 | 2 | 4/15 | 12/15 |
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