Khimik Dzerzhinsk vs Dinamo Bryansk: result 3-1 and analysis
Second League A - Spring Season SilverSpring Season Silver - 3Kick-off on March 18, 2024 at 03:00 PM (UTC)Stadion Khimik, Dzerzhinsk
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What was the result of Khimik Dzerzhinsk vs Dinamo Bryansk?
Khimik Dzerzhinsk won 3-1 on March 18, 2024.
Goalscorers
- 49′V. DrogunovDinamo Bryansk (pen.)
- 58′Aleksey SergienkoKhimik Dzerzhinsk
- 70′S. DoroninKhimik Dzerzhinsk
- 90′Sergey TimoshkinKhimik Dzerzhinsk
What is the recent form of both teams?
Over their last 15 matches in all competitions, Khimik Dzerzhinsk have 8 wins, 2 draws and 5 defeats; Dinamo Bryansk have 1, 4 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 9, 2024 | Volga Ulyanovsk(home) | 1-0 | Second League A - Spring Season Silver |
| Mar 2, 2024 | Spartak Kostroma(home) | 0-2 | Second League A - Spring Season Silver |
| Feb 22, 2024 | FK Sokol Saratov(home) | 1-3 | Friendlies Clubs |
| Feb 22, 2024 | FK Sokol Saratov(away) | 1-3 | Friendlies Clubs |
| Feb 20, 2024 | FK Neftekhimik(away) | 1-4 | Friendlies Clubs |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 9, 2024 | Mashuk-KMV(home) | 0-1 | Second League A - Spring Season Silver |
| Mar 2, 2024 | Tekstilshchik(away) | 1-1 | Second League A - Spring Season Silver |
| Feb 14, 2024 | FK Sokol Saratov(away) | 1-1 | Friendlies Clubs |
| Jan 27, 2024 | FK Neftekhimik(away) | 1-2 | Friendlies Clubs |
| Jan 20, 2024 | FC Gomel(away) | 0-1 | Friendlies Clubs |
How many goals should we expect?
Khimik Dzerzhinsk score 1.5 and concede 1.6 goals per match over their last 15; Dinamo Bryansk score 0.8 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Khimik Dzerzhinsk | 1.5 | 1.6 | 2 | 11/15 | 9/15 |
| Dinamo Bryansk | 0.8 | 1.7 | 1 | 10/15 | 6/15 |
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