Khimik Svetlogorsk vs Smorgon: result 1-1 and analysis
1. DivisionRegular Season - 2Kick-off on April 28, 2012 at 01:00 PM (UTC)Stadyen Bumashnik, Svietlahorsk
Full time
What was the result of Khimik Svetlogorsk vs Smorgon?
Khimik Svetlogorsk and Smorgon drew 1-1 on April 28, 2012.
Goalscorers
- 3′A. TarlikovskiySmorgon
- 58′A. ShepelevKhimik Svetlogorsk (o.g.)
Official lineup for Khimik Svetlogorsk vs Smorgon
The starting elevens fielded at kick-off.
Khimik Svetlogorsk
- RR. Shukelovich
- YY. Syrokvashko
- AA. Arkhiptsev
- MM. Chernakovich
- AA. Sergeev
- MM. Dashuk
- DD. Kamzolov
- AAleksandr Bucha
- KK. Subbotin
- EE. Dmitrachkov
- VV. Osipov
Smorgon
- II. German
- SS. Korsak
- AA. Shota
- MM. Kotin
- EE. Semenov
- AA. Skshinetski
- VVitali Panasyuk
- VVladislav Dukso
- AA. Shepelev
- AA. Tarlikovskiy
- AA. Gerasimovich
What is the recent form of both teams?
In their last match in all competitions, Khimik Svetlogorsk have 0 wins, 0 draws and 1 defeat; Smorgon have 1, 0 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2012 | SKVICH(away) | 0-2 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2012 | Polotsk(home) | 1-0 | 1. Division |
How many goals should we expect?
Khimik Svetlogorsk score 0.0 and concede 2.0 goals per match in their last match; Smorgon score 1.0 and concede 0.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Khimik Svetlogorsk | 0.0 | 2.0 | 0 | 0/1 | 0/1 |
| Smorgon | 1.0 | 0.0 | 1 | 0/1 | 0/1 |
Over the last match in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Smorgon | 31 | 11 | 6 | 14 | 36 | 41 | 39 |
A question about Khimik Svetlogorsk vs Smorgon?
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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