Oshmyany vs Khimik Svetlogorsk: result 2-1 and analysis
Coppa2nd RoundKick-off on June 12, 2019 at 03:00 PM (UTC)Stadyen FOK, Oshmyany
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What was the result of Oshmyany vs Khimik Svetlogorsk?
Oshmyany won 2-1 on June 12, 2019.
Goalscorers
- 4′Aleksey SkvorchevskiyOshmyany
- 10′D. KupnevskiyOshmyany
- 52′A. KomarovKhimik Svetlogorsk
What is the recent form of both teams?
Over their last 15 matches in all competitions, Oshmyany have 9 wins, 2 draws and 4 defeats; Khimik Svetlogorsk have 5, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 8, 2019 | Neman-Agro(home) | 11-0 | 2. Division |
| Jun 1, 2019 | Viktoriya Maryina Horka(away) | 5-0 | 2. Division |
| May 25, 2019 | Ivatsevichi(home) | 5-2 | 2. Division |
| May 18, 2019 | Osipovichy(away) | 6-0 | 2. Division |
| May 12, 2019 | Uzda(home) | 2-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 8, 2019 | NFK Minsk(home) | 1-0 | 1. Division |
| Jun 1, 2019 | Lida(away) | 0-4 | 1. Division |
| May 25, 2019 | Orsha(home) | 2-1 | 1. Division |
| May 18, 2019 | Belshina(away) | 0-4 | 1. Division |
| May 12, 2019 | Sputnik(home) | 0-3 | 1. Division |
What does the head-to-head say?
Across the last 2 meetings: 1 Oshmyany win(s), 0 draw(s), 1 Khimik Svetlogorsk win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 29, 2016 | Oshmyany 2-1 Khimik Svetlogorsk | 1. Division |
| Jul 16, 2016 | Khimik Svetlogorsk 2-1 Oshmyany | 1. Division |
Last archived meeting: Oshmyany vs Khimik Svetlogorsk on Oct 29, 2016
How many goals should we expect?
Oshmyany score 3.8 and concede 1.1 goals per match over their last 15; Khimik Svetlogorsk score 0.9 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Oshmyany | 3.8 | 1.1 | 5 | 8/15 | 12/15 |
| Khimik Svetlogorsk | 0.9 | 1.9 | 5 | 2/15 | 10/15 |
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