Lada Tolyatti vs Ural II: result 3-0 and analysis
Second League - Group 4Group 4 - 13Kick-off on October 25, 2020 at 10:00 AM (UTC)Stadion Torpedo, Tol'yatti
Full time
What was the result of Lada Tolyatti vs Ural II?
Lada Tolyatti won 3-0 on October 25, 2020.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Lada Tolyatti have 1 win, 0 draws and 12 defeats; Ural II have 5, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 17, 2020 | Novosibirsk(away) | 1-2 | Second League - Group 4 |
| Oct 14, 2020 | Dinamo Barnaul(away) | 0-3 | Second League - Group 4 |
| Oct 8, 2020 | Orenburg II(home) | 1-3 | Second League - Group 4 |
| Oct 3, 2020 | Nosta(away) | 0-7 | Second League - Group 4 |
| Sep 20, 2020 | Krylya Sovetov II(home) | 1-0 | Second League - Group 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 18, 2020 | Zenit Izhevsk(away) | 1-1 | Second League - Group 4 |
| Oct 13, 2020 | KAMAZ(away) | 3-2 | Second League - Group 4 |
| Oct 3, 2020 | Krylya Sovetov II(away) | 2-1 | Second League - Group 4 |
| Sep 27, 2020 | Tyumen(home) | 1-2 | Second League - Group 4 |
| Sep 20, 2020 | Zvezda Perm(away) | 2-2 | Second League - Group 4 |
How many goals should we expect?
Lada Tolyatti score 0.5 and concede 3.2 goals per match over their last 13; Ural II score 1.4 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lada Tolyatti | 0.5 | 3.2 | 1 | 6/13 | 11/13 |
| Ural II | 1.4 | 1.4 | 1 | 10/12 | 7/12 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Ural II | 22 | 5 | 7 | 10 | 34 | 44 | 22 |
A question about Lada Tolyatti vs Ural II?
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy