Fc Luch Minsk vs Oshmyany: result 5-2 and analysis
1. DivisionRegular Season - 24Kick-off on October 22, 2016 at 12:00 PM (UTC)SOK Olympijskij, Minsk
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What was the result of Fc Luch Minsk vs Oshmyany?
Fc Luch Minsk won 5-2 on October 22, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fc Luch Minsk have 7 wins, 4 draws and 4 defeats; Oshmyany have 0, 3 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2016 | Lokomotiv Gomel(away) | 0-0 | 1. Division |
| Oct 8, 2016 | Smorgon(home) | 2-1 | 1. Division |
| Oct 2, 2016 | Torpedo Minsk(away) | 2-4 | 1. Division |
| Sep 24, 2016 | Smolevichi-Sti(home) | 1-0 | 1. Division |
| Sep 17, 2016 | Zorka-BDU(away) | 2-3 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2016 | FC Dnepr Mogilev(home) | 0-3 | 1. Division |
| Oct 8, 2016 | Orsha(away) | 0-7 | 1. Division |
| Oct 1, 2016 | Baranovichi(home) | 1-1 | 1. Division |
| Sep 24, 2016 | Lokomotiv Gomel(home) | 0-2 | 1. Division |
| Sep 17, 2016 | Smorgon(away) | 1-1 | 1. Division |
What does the head-to-head say?
Across the last 3 meetings: 2 Fc Luch Minsk win(s), 1 draw(s), 0 Oshmyany win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 2, 2016 | Oshmyany 3-3 Fc Luch Minsk | 1. Division |
| Oct 24, 2015 | Fc Luch Minsk 4-0 Oshmyany | 2. Division |
| Sep 26, 2015 | Oshmyany 1-2 Fc Luch Minsk | 2. Division |
Last archived meeting: Oshmyany vs Fc Luch Minsk on Jul 2, 2016
How many goals should we expect?
Fc Luch Minsk score 1.7 and concede 1.3 goals per match over their last 15; Oshmyany score 0.9 and concede 3.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fc Luch Minsk | 1.7 | 1.3 | 4 | 9/15 | 9/15 |
| Oshmyany | 0.9 | 3.2 | 0 | 8/15 | 11/15 |
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