Khimik Svetlogorsk vs Gorodeya: result 0-0 and analysis
1. DivisionRegular Season - 5Kick-off on May 19, 2012 at 03:00 PM (UTC)Stadyen Bumashnik, Svietlahorsk
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What was the result of Khimik Svetlogorsk vs Gorodeya?
Khimik Svetlogorsk and Gorodeya drew 0-0 on May 19, 2012.
Official lineup for Khimik Svetlogorsk vs Gorodeya
The starting elevens fielded at kick-off.
Khimik Svetlogorsk
- YY. Syrokvashko
- AA. Arkhiptsev
- KK. Tuz
- MM. Dashuk
- GGennadi Preys
- II. Zhestkin
- DD. Medvedev
- DD. Kamzolov
- EE. Dmitrachkov
- VV. Belyavskiy
- VV. Osipov
Gorodeya
- AAlexander Lebedev
- MMikhail Litvinchuk
- RR. Garkusha
- PPavel Platonov
- DDmitry Gintov
- NN. Osipovich
- VV. Volodenkov
- DDmitri Chalei
- VValeri Tarasenko
- VV. Sorochinskiy
- SS. Turanok
What is the recent form of both teams?
Over their last 3 matches in all competitions, Khimik Svetlogorsk have 0 wins, 1 draw and 2 defeats; Gorodeya have 3, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2012 | Polotsk(away) | 0-2 | 1. Division |
| Apr 28, 2012 | Smorgon(home) | 1-1 | 1. Division |
| Apr 21, 2012 | SKVICH(away) | 0-2 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2012 | Polotsk(home) | 1-0 | 1. Division |
| May 5, 2012 | Smorgon(away) | 1-0 | 1. Division |
| Apr 28, 2012 | SKVICH(home) | 1-0 | 1. Division |
| Apr 21, 2012 | Byaroza 2010(away) | 1-2 | 1. Division |
How many goals should we expect?
Khimik Svetlogorsk score 0.3 and concede 1.7 goals per match over their last 3; Gorodeya score 1.0 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Khimik Svetlogorsk | 0.3 | 1.7 | 0 | 1/3 | 0/3 |
| Gorodeya | 1.0 | 0.5 | 3 | 1/4 | 1/4 |
Over the last 3 matches in all competitions.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy