Khimik Dzerzhinsk vs Torpedo Miass: result 1-0 and analysis
Second League A - Spring Season SilverSpring Season Silver - 12Kick-off on May 4, 2024 at 02:00 PM (UTC)Stadion Khimik, Dzerzhinsk
Full time
What was the result of Khimik Dzerzhinsk vs Torpedo Miass?
Khimik Dzerzhinsk won 1-0 on May 4, 2024.
Goalscorers
- 18′D. KotelnikovKhimik Dzerzhinsk
What is the recent form of both teams?
Over their last 15 matches in all competitions, Khimik Dzerzhinsk have 5 wins, 5 draws and 5 defeats; Torpedo Miass have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 28, 2024 | Dinamo Bryansk(away) | 4-4 | Second League A - Spring Season Silver |
| Apr 24, 2024 | Volga Ulyanovsk(away) | 1-0 | Second League A - Spring Season Silver |
| Apr 20, 2024 | Avangard Kursk(away) | 0-1 | Second League A - Spring Season Silver |
| Apr 13, 2024 | Irtysh Omsk(home) | 1-1 | Second League A - Spring Season Silver |
| Apr 7, 2024 | Kaluga(home) | 1-1 | Second League A - Spring Season Silver |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 28, 2024 | Mashuk-KMV(home) | 0-0 | Second League A - Spring Season Silver |
| Apr 24, 2024 | Tekstilshchik(away) | 1-1 | Second League A - Spring Season Silver |
| Apr 20, 2024 | Dinamo Bryansk(away) | 0-0 | Second League A - Spring Season Silver |
| Apr 13, 2024 | Volga Ulyanovsk(home) | 2-1 | Second League A - Spring Season Silver |
| Apr 7, 2024 | Spartak Kostroma(away) | 0-1 | Second League A - Spring Season Silver |
How many goals should we expect?
Khimik Dzerzhinsk score 1.3 and concede 1.6 goals per match over their last 15; Torpedo Miass score 1.2 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Khimik Dzerzhinsk | 1.3 | 1.6 | 4 | 9/15 | 7/15 |
| Torpedo Miass | 1.2 | 1.2 | 3 | 9/15 | 7/15 |
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