Smorgon vs Osipovichy: result 1-2 and analysis
1. DivisionRegular Season - 10Kick-off on June 10, 2017 at 03:00 PM (UTC)Stadyen Junatstva, Smorgon
Full time
What was the result of Smorgon vs Osipovichy?
Osipovichy won 1-2 on June 10, 2017.
Goalscorers
- 14′Aleksandr TolkanitsaSmorgon
- 45′Ivan MolchanovOsipovichy
- 77′I. KazlovskiyOsipovichy
What is the recent form of both teams?
Over their last 15 matches in all competitions, Smorgon have 4 wins, 5 draws and 6 defeats; Osipovichy have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 3, 2017 | Belshina(away) | 1-4 | 1. Division |
| May 27, 2017 | Smolevichi-Sti(home) | 0-0 | 1. Division |
| May 20, 2017 | Slonim(away) | 1-1 | 1. Division |
| May 13, 2017 | Fc Luch Minsk(home) | 0-0 | 1. Division |
| May 6, 2017 | Granit(away) | 1-4 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 3, 2017 | Baranovichi(home) | 2-0 | 1. Division |
| May 27, 2017 | Ynergetyk-BDU(away) | 1-2 | 1. Division |
| May 20, 2017 | Volna(home) | 1-0 | 1. Division |
| May 13, 2017 | Khimik Svetlogorsk(away) | 0-2 | 1. Division |
| May 6, 2017 | Lokomotiv Gomel(home) | 1-2 | 1. Division |
How many goals should we expect?
Smorgon score 1.1 and concede 1.6 goals per match over their last 15; Osipovichy score 1.5 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Smorgon | 1.1 | 1.6 | 5 | 9/15 | 9/15 |
| Osipovichy | 1.5 | 1.7 | 4 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Smorgon sit 14th in 1. Division (23 points from 21 matches) and Osipovichy sit 18th (17 points from 21 matches).
| # | 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 |
| 18 | Osipovichy | 21 | 5 | 2 | 14 | 23 | 51 | 17 |
| 18 | Osipovichy | 11 | 0 | 1 | 10 | 10 | 35 | 1 |
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