Gorodeya vs Khimik Svetlogorsk: result 2-1 and analysis
1. DivisionRegular Season - 20Kick-off on September 8, 2012 at 01:00 PM (UTC)Stadyen Haradzeya, Haradzeya
Full time
What was the result of Gorodeya vs Khimik Svetlogorsk?
Gorodeya won 2-1 on September 8, 2012.
Goalscorers
- 30′D. LebedevGorodeya
- 43′Andrei DashukKhimik Svetlogorsk
- 81′Denis SashchekoGorodeya
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gorodeya have 9 wins, 5 draws and 1 defeats; Khimik Svetlogorsk have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2012 | Polotsk(away) | 2-0 | 1. Division |
| Aug 25, 2012 | Smorgon(home) | 1-0 | 1. Division |
| Aug 18, 2012 | SKVICH(away) | 1-1 | 1. Division |
| Aug 11, 2012 | Byaroza 2010(home) | 2-1 | 1. Division |
| Jul 28, 2012 | Sputnik(home) | 0-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 25, 2012 | Polotsk(home) | 2-3 | 1. Division |
| Aug 18, 2012 | Smorgon(away) | 1-0 | 1. Division |
| Aug 11, 2012 | SKVICH(home) | 0-2 | 1. Division |
| Jul 28, 2012 | Byaroza 2010(home) | 2-1 | 1. Division |
| Jul 14, 2012 | Sputnik(away) | 2-0 | 1. Division |
What does the head-to-head say?
Across the last 1 meetings: 0 Gorodeya win(s), 1 draw(s), 0 Khimik Svetlogorsk win(s).
| Date | Score | Competition |
|---|---|---|
| May 19, 2012 | Khimik Svetlogorsk 0-0 Gorodeya | 1. Division |
Last archived meeting: Khimik Svetlogorsk vs Gorodeya on May 19, 2012
How many goals should we expect?
Gorodeya score 1.7 and concede 0.5 goals per match over their last 15; Khimik Svetlogorsk score 0.9 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gorodeya | 1.7 | 0.5 | 9 | 6/15 | 6/15 |
| Khimik Svetlogorsk | 0.9 | 1.7 | 4 | 6/15 | 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