Torpedo Miass vs Tyumen: result 0-3 and analysis
Second League - Group 4Group 4 - 24Kick-off on April 24, 2022 at 09:00 AM (UTC)Stadion Trud, Miass
Full time
What was the result of Torpedo Miass vs Tyumen?
Tyumen won 0-3 on April 24, 2022.
Goalscorers
- 52′P. ShadrinTyumen
- 59′A. KobyalkoTyumen
- 76′V. TyurinTyumen
What is the recent form of both teams?
Over their last 15 matches in all competitions, Torpedo Miass have 7 wins, 2 draws and 6 defeats; Tyumen have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 18, 2022 | Amkar(away) | 1-1 | Second League - Group 4 |
| Apr 13, 2022 | Dinamo Barnaul(home) | 2-0 | Second League - Group 4 |
| Apr 10, 2022 | Dinamo Barnaul(home) | 2-1 | Second League - Group 4 |
| Nov 14, 2021 | Ural II(away) | 0-2 | Second League - Group 4 |
| Nov 9, 2021 | Zenit Izhevsk(home) | 1-2 | Second League - Group 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 17, 2022 | Orenburg II(home) | 4-0 | Second League - Group 4 |
| Apr 11, 2022 | Ural II(away) | 2-2 | Second League - Group 4 |
| Apr 3, 2022 | Nosta(home) | 1-1 | Second League - Group 4 |
| Nov 14, 2021 | Zenit Izhevsk(home) | 3-0 | Second League - Group 4 |
| Nov 9, 2021 | Zvezda Perm(home) | 0-0 | Second League - Group 4 |
What does the head-to-head say?
Across the last 1 meetings: 0 Torpedo Miass win(s), 0 draw(s), 1 Tyumen win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 29, 2021 | Tyumen 8-1 Torpedo Miass | Second League - Group 4 |
Last archived meeting: Tyumen vs Torpedo Miass on Aug 29, 2021
How many goals should we expect?
Torpedo Miass score 1.1 and concede 1.1 goals per match over their last 15; Tyumen score 2.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Torpedo Miass | 1.1 | 1.1 | 3 | 7/15 | 7/15 |
| Tyumen | 2.1 | 0.9 | 8 | 6/15 | 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