Khimik Svetlogorsk vs YuA-Stroy-DYuSSh: result 1-1 and analysis
1. DivisionRegular Season - 24Kick-off on September 29, 2018 at 01:00 PM (UTC)Stadyen Bumashnik, Svietlahorsk
Full time
What was the result of Khimik Svetlogorsk vs YuA-Stroy-DYuSSh?
Khimik Svetlogorsk and YuA-Stroy-DYuSSh drew 1-1 on September 29, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Khimik Svetlogorsk have 6 wins, 3 draws and 6 defeats; YuA-Stroy-DYuSSh have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2018 | Granit(away) | 1-4 | 1. Division |
| Sep 15, 2018 | FC Energetik-Bgu Minsk(home) | 2-0 | 1. Division |
| Sep 8, 2018 | Volna(away) | 0-1 | 1. Division |
| Sep 1, 2018 | Slonim(home) | 3-0 | 1. Division |
| Aug 25, 2018 | Smorgon(away) | 2-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2018 | Čist́(home) | 2-2 | 1. Division |
| Sep 15, 2018 | Orsha(away) | 2-1 | 1. Division |
| Sep 8, 2018 | Baranovichi(home) | 0-1 | 1. Division |
| Sep 1, 2018 | Lida(home) | 1-2 | 1. Division |
| Aug 25, 2018 | Belshina(home) | 0-5 | 1. Division |
What does the head-to-head say?
Across the last 1 meetings: 0 Khimik Svetlogorsk win(s), 0 draw(s), 1 YuA-Stroy-DYuSSh win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 2, 2018 | YuA-Stroy-DYuSSh 1-0 Khimik Svetlogorsk | 1. Division |
Last archived meeting: YuA-Stroy-DYuSSh vs Khimik Svetlogorsk on Jun 2, 2018
How many goals should we expect?
Khimik Svetlogorsk score 1.5 and concede 1.3 goals per match over their last 15; YuA-Stroy-DYuSSh score 0.8 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Khimik Svetlogorsk | 1.5 | 1.3 | 5 | 6/15 | 7/15 |
| YuA-Stroy-DYuSSh | 0.8 | 1.4 | 3 | 8/15 | 7/15 |
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