Lada Tolyatti vs Krylya Sovetov II: result 1-0 and analysis
Second League - Group 4Group 4 - 7Kick-off on September 20, 2020 at 11:00 AM (UTC)Stadion Torpedo, Tol'yatti
Full time
What was the result of Lada Tolyatti vs Krylya Sovetov II?
Lada Tolyatti won 1-0 on September 20, 2020.
Goalscorers
- 67′Ilya PerevozchikovLada Tolyatti
What is the recent form of both teams?
Over their last 8 matches in all competitions, Lada Tolyatti have 0 wins, 0 draws and 8 defeats; Krylya Sovetov II have 1, 0 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 12, 2020 | Volna Nizhegorodskaya(home) | 1-2 | Second League - Group 4 |
| Sep 6, 2020 | Volga Ulyanovsk(home) | 0-3 | Second League - Group 4 |
| Aug 29, 2020 | Zenit Izhevsk(away) | 1-4 | Second League - Group 4 |
| Aug 23, 2020 | KAMAZ(home) | 1-4 | Second League - Group 4 |
| Aug 15, 2020 | Tyumen(away) | 0-2 | Second League - Group 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 12, 2020 | Tyumen(home) | 3-4 | Second League - Group 4 |
| Sep 6, 2020 | Zvezda Perm(away) | 1-3 | Second League - Group 4 |
| 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 |
How many goals should we expect?
Lada Tolyatti score 0.5 and concede 3.3 goals per match over their last 8; Krylya Sovetov II score 1.3 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lada Tolyatti | 0.5 | 3.3 | 0 | 4/8 | 7/8 |
| Krylya Sovetov II | 1.3 | 2.7 | 1 | 3/6 | 5/6 |
Over the last 8 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