Torpedo Moskva vs Ural: result 1-2 and analysis
CupPremier League Path - Group Stage - 5Kick-off on November 26, 2022 at 01:00 PM (UTC)Stadion Luzhniki, Moskva
Full time
What was the result of Torpedo Moskva vs Ural?
Ural won 1-2 on November 26, 2022.
Goalscorers
- 54′E. BicfalviUral (pen.)
- 73′E. BicfalviUral
- 77′D. LaptevTorpedo Moskva
What is the recent form of both teams?
Over their last 15 matches in all competitions, Torpedo Moskva have 3 wins, 3 draws and 9 defeats; Ural have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 22, 2022 | FC Sochi(home) | 1-1 | Cup |
| Nov 12, 2022 | Zenit(home) | 0-2 | Premier League |
| Nov 6, 2022 | Krylia Sovetov(home) | 0-2 | Premier League |
| Oct 30, 2022 | Spartak Moscow(away) | 0-1 | Premier League |
| Oct 23, 2022 | Akhmat(away) | 0-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 22, 2022 | CSKA Moscow(home) | 0-0 | Cup |
| Nov 12, 2022 | Fakel(home) | 2-0 | Premier League |
| Nov 6, 2022 | Lokomotiv(home) | 2-2 | Premier League |
| Oct 30, 2022 | FC Sochi(away) | 2-2 | Premier League |
| Oct 24, 2022 | Krylia Sovetov(home) | 2-1 | Premier League |
What does the head-to-head say?
Across the last 2 meetings: 0 Torpedo Moskva win(s), 0 draw(s), 2 Ural win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 28, 2022 | Ural 1-0 Torpedo Moskva | Cup |
| Sep 11, 2022 | Ural 2-0 Torpedo Moskva | Premier League |
Last archived meeting: Ural vs Torpedo Moskva on Sep 28, 2022
How many goals should we expect?
Torpedo Moskva score 0.5 and concede 1.1 goals per match over their last 15; Ural score 1.8 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Torpedo Moskva | 0.5 | 1.1 | 3 | 3/15 | 2/15 |
| Ural | 1.8 | 1.1 | 5 | 10/15 | 10/15 |
Over the last 15 matches in all competitions.
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