Smorgon vs Oshmyany: result 1-1 and analysis
1. DivisionRegular Season - 7Kick-off on May 31, 2020 at 02:00 PM (UTC)Stadyen Junatstva, Smorgon
Full time
What was the result of Smorgon vs Oshmyany?
Smorgon and Oshmyany drew 1-1 on May 31, 2020.
Goalscorers
- 9′Alan MistulovSmorgon
- 56′A. KontsedaylovOshmyany
What is the recent form of both teams?
Over their last 15 matches in all competitions, Smorgon have 6 wins, 4 draws and 5 defeats; Oshmyany have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 24, 2020 | Naftan(away) | 1-0 | 1. Division |
| May 17, 2020 | Slonim(away) | 1-0 | 1. Division |
| May 9, 2020 | Lida(home) | 1-0 | 1. Division |
| May 2, 2020 | Orsha(away) | 0-0 | 1. Division |
| Apr 25, 2020 | Volna(home) | 2-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 23, 2020 | Slonim(home) | 1-0 | 1. Division |
| May 16, 2020 | Lida(away) | 1-3 | 1. Division |
| May 10, 2020 | Orsha(home) | 0-0 | 1. Division |
| May 2, 2020 | Volna(away) | 2-3 | 1. Division |
| Apr 25, 2020 | Sputnik(home) | 0-1 | 1. Division |
What does the head-to-head say?
Across the last 2 meetings: 0 Smorgon win(s), 1 draw(s), 1 Oshmyany win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 17, 2016 | Smorgon 1-1 Oshmyany | 1. Division |
| May 22, 2016 | Oshmyany 1-0 Smorgon | 1. Division |
How many goals should we expect?
Smorgon score 0.9 and concede 1.1 goals per match over their last 15; Oshmyany score 2.2 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Smorgon | 0.9 | 1.1 | 7 | 4/15 | 5/15 |
| Oshmyany | 2.2 | 1.2 | 5 | 8/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Smorgon | 21 | 6 | 5 | 10 | 24 | 30 | 23 |
| 16 | Smorgon | 12 | 2 | 4 | 6 | 14 | 20 | 10 |
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