SKVICH vs Khimik Svetlogorsk: result 0-1 and analysis
1. DivisionRegular Season - 10Kick-off on June 22, 2013 at 12:00 PM (UTC)SOK Olympijskij, Minsk
Full time
What was the result of SKVICH vs Khimik Svetlogorsk?
Khimik Svetlogorsk won 0-1 on June 22, 2013.
Goalscorers
- 57′M. KotinKhimik Svetlogorsk
What is the recent form of both teams?
Over their last 15 matches in all competitions, SKVICH have 6 wins, 1 draws and 8 defeats; Khimik Svetlogorsk have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 16, 2013 | FC Vitebsk(away) | 0-2 | 1. Division |
| Jun 8, 2013 | Smolevichi-Sti(away) | 0-3 | 1. Division |
| Jun 1, 2013 | Minsk II(home) | 4-3 | 1. Division |
| May 24, 2013 | Slonim(away) | 1-2 | 1. Division |
| May 18, 2013 | Gorodeya(away) | 2-3 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 16, 2013 | Slonim(home) | 1-0 | 1. Division |
| Jun 8, 2013 | Gorodeya(away) | 3-5 | 1. Division |
| Jun 1, 2013 | Byaroza 2010(home) | 1-0 | 1. Division |
| May 24, 2013 | Smorgon(away) | 2-4 | 1. Division |
| May 18, 2013 | Lida(home) | 1-1 | 1. Division |
What does the head-to-head say?
Across the last 2 meetings: 2 SKVICH win(s), 0 draw(s), 0 Khimik Svetlogorsk win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 11, 2012 | Khimik Svetlogorsk 0-2 SKVICH | 1. Division |
| Apr 21, 2012 | SKVICH 2-0 Khimik Svetlogorsk | 1. Division |
Last archived meeting: Khimik Svetlogorsk vs SKVICH on Aug 11, 2012
How many goals should we expect?
SKVICH score 1.7 and concede 1.6 goals per match over their last 15; Khimik Svetlogorsk score 1.1 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SKVICH | 1.7 | 1.6 | 3 | 6/15 | 10/15 |
| Khimik Svetlogorsk | 1.1 | 2.0 | 4 | 7/15 | 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