Khimik Svetlogorsk vs Granit: result 1-2 and analysis
1. DivisionRegular Season - 27Kick-off on October 27, 2012 at 10:30 AM (UTC)Stadyen Bumashnik, Svietlahorsk
Full time
What was the result of Khimik Svetlogorsk vs Granit?
Granit won 1-2 on October 27, 2012.
Goalscorers
- 29′Mikhail GornakGranit
- 78′M. DashukKhimik Svetlogorsk
- 79′Dmitri IgnatenkoGranit
What is the recent form of both teams?
Over their last 15 matches in all competitions, Khimik Svetlogorsk have 4 wins, 3 draws and 8 defeats; Granit have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2012 | FC Slutsk(away) | 0-2 | 1. Division |
| Oct 13, 2012 | Volna(home) | 2-2 | 1. Division |
| Oct 6, 2012 | Lida(away) | 2-2 | 1. Division |
| Sep 30, 2012 | FC Vitebsk(home) | 1-2 | 1. Division |
| Sep 22, 2012 | DSK Gomel(away) | 3-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2012 | Polotsk(home) | 2-1 | 1. Division |
| Oct 13, 2012 | Smorgon(away) | 3-1 | 1. Division |
| Oct 6, 2012 | SKVICH(home) | 0-1 | 1. Division |
| Sep 30, 2012 | Byaroza 2010(away) | 0-1 | 1. Division |
| Sep 22, 2012 | Sputnik(home) | 2-1 | 1. Division |
What does the head-to-head say?
Across the last 1 meetings: 0 Khimik Svetlogorsk win(s), 1 draw(s), 0 Granit win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 4, 2012 | Granit 1-1 Khimik Svetlogorsk | 1. Division |
Last archived meeting: Granit vs Khimik Svetlogorsk on Jul 4, 2012
How many goals should we expect?
Khimik Svetlogorsk score 1.3 and concede 1.7 goals per match over their last 15; Granit score 1.6 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Khimik Svetlogorsk | 1.3 | 1.7 | 2 | 9/15 | 9/15 |
| Granit | 1.6 | 1.1 | 1 | 11/15 | 9/15 |
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