Torpedo Miass vs Ural II: result 2-1 and analysis
Second League - Group 4Group 4 - 11Kick-off on September 26, 2021 at 10:00 AM (UTC)Stadion Trud, Miass
Full time
What was the result of Torpedo Miass vs Ural II?
Torpedo Miass won 2-1 on September 26, 2021.
Goalscorers
- 44′S. StroganovTorpedo Miass
- 56′A. EmelyanovTorpedo Miass
- 76′L. TolkachevUral II
What is the recent form of both teams?
Over their last 12 matches in all competitions, Torpedo Miass have 3 wins, 2 draws and 7 defeats; Ural II have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2021 | Irtysh Omsk(away) | 0-1 | Second League - Group 4 |
| Sep 14, 2021 | Dinamo Barnaul(away) | 0-0 | Second League - Group 4 |
| Sep 5, 2021 | Amkar(home) | 0-2 | Second League - Group 4 |
| Aug 29, 2021 | Tyumen(away) | 1-8 | Second League - Group 4 |
| Aug 21, 2021 | Novosibirsk(home) | 1-1 | Second League - Group 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 18, 2021 | Lada Tolyatti(home) | 4-3 | Second League - Group 4 |
| Sep 12, 2021 | Tyumen(away) | 1-2 | Second League - Group 4 |
| Sep 5, 2021 | Dinamo Barnaul(home) | 4-1 | Second League - Group 4 |
| Sep 2, 2021 | Irtysh Omsk(home) | 1-1 | Second League - Group 4 |
| Aug 21, 2021 | Zenit Izhevsk(away) | 3-1 | Second League - Group 4 |
How many goals should we expect?
Torpedo Miass score 1.0 and concede 1.6 goals per match over their last 12; Ural II score 2.2 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Torpedo Miass | 1.0 | 1.6 | 3 | 5/12 | 5/12 |
| Ural II | 2.2 | 1.4 | 3 | 10/15 | 13/15 |
Over the last 12 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 |
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