Khimik Svetlogorsk vs Sputnik: result 0-1 and analysis
1. DivisionRegular Season - 14Kick-off on July 20, 2013 at 02:30 PM (UTC)Stadyen Bumashnik, Svietlahorsk
Full time
What was the result of Khimik Svetlogorsk vs Sputnik?
Sputnik won 0-1 on July 20, 2013.
Goalscorers
- 57′S. FilippovSputnik
What is the recent form of both teams?
Over their last 15 matches in all competitions, Khimik Svetlogorsk have 4 wins, 5 draws and 6 defeats; Sputnik have 2, 6 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 13, 2013 | Minsk II(home) | 0-0 | 1. Division |
| Jul 6, 2013 | FC Vitebsk(away) | 2-5 | 1. Division |
| Jun 29, 2013 | Smolevichi-Sti(home) | 0-0 | 1. Division |
| Jun 22, 2013 | SKVICH(away) | 1-0 | 1. Division |
| Jun 16, 2013 | Slonim(home) | 1-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 13, 2013 | FC Vitebsk(home) | 2-0 | 1. Division |
| Jul 6, 2013 | Smolevichi-Sti(away) | 0-3 | 1. Division |
| Jun 29, 2013 | SKVICH(home) | 3-0 | 1. Division |
| Jun 22, 2013 | Slonim(away) | 3-3 | 1. Division |
| Jun 16, 2013 | Gorodeya(home) | 1-2 | 1. Division |
What does the head-to-head say?
Across the last 2 meetings: 1 Khimik Svetlogorsk win(s), 1 draw(s), 0 Sputnik win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 10, 2012 | Khimik Svetlogorsk 0-0 Sputnik | 1. Division |
| Jul 14, 2012 | Sputnik 0-2 Khimik Svetlogorsk | 1. Division |
Last archived meeting: Khimik Svetlogorsk vs Sputnik on Nov 10, 2012
How many goals should we expect?
Khimik Svetlogorsk score 1.0 and concede 1.5 goals per match over their last 15; Sputnik score 0.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Khimik Svetlogorsk | 1.0 | 1.5 | 7 | 5/15 | 4/15 |
| Sputnik | 0.9 | 1.3 | 6 | 5/15 | 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