Khimik Dzerzhinsk vs Sokol Kazan: result 1-0 and analysis
Second League - Group 4Group 4 - 1Kick-off on April 13, 2025 at 01:00 PM (UTC)Stadion Khimik, Dzerzhinsk
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What was the result of Khimik Dzerzhinsk vs Sokol Kazan?
Khimik Dzerzhinsk won 1-0 on April 13, 2025.
Goalscorers
- 52′I. YurchenkoKhimik Dzerzhinsk
What is the recent form of both teams?
Over their last 15 matches in all competitions, Khimik Dzerzhinsk have 3 wins, 3 draws and 9 defeats; Sokol Kazan have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 16, 2024 | Volga Ulyanovsk(away) | 0-3 | Second League A - Division A Silver |
| Nov 9, 2024 | Mashuk-KMV(home) | 2-2 | Second League A - Division A Silver |
| Nov 2, 2024 | Krasnodar 2(away) | 2-0 | Second League A - Division A Silver |
| Oct 26, 2024 | Irtysh Omsk(home) | 0-2 | Second League A - Division A Silver |
| Oct 20, 2024 | Murom(away) | 1-2 | Second League A - Division A Silver |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 18, 2024 | Nizhny Novgorod II(home) | 2-0 | Second League - Group 4 |
| Oct 12, 2024 | Dinamo Barnaul(away) | 2-3 | Second League - Group 4 |
| Oct 5, 2024 | Nosta(away) | 2-0 | Second League - Group 4 |
| Sep 28, 2024 | Uralets Nizhnyi Tagil(away) | 2-3 | Second League - Group 4 |
| Sep 22, 2024 | Volna Nizhegorodskaya(home) | 1-2 | Second League - Group 4 |
How many goals should we expect?
Khimik Dzerzhinsk score 1.1 and concede 2.0 goals per match over their last 15; Sokol Kazan score 1.5 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Khimik Dzerzhinsk | 1.1 | 2.0 | 1 | 9/15 | 12/15 |
| Sokol Kazan | 1.5 | 1.4 | 5 | 9/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Khimik Dzerzhinsk | 22 | 18 | 2 | 2 | 57 | 16 | 56 |
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