Osipovichy vs Lida: result 0-2 and analysis
1. DivisionRegular Season - 3Kick-off on April 22, 2017 at 01:00 PM (UTC)Stadyen Junatstva, Osipovichy
Full time
What was the result of Osipovichy vs Lida?
Lida won 0-2 on April 22, 2017.
Goalscorers
- 42′Sergey LevitskiyLida
- 50′Anton OgurtsovLida
What is the recent form of both teams?
Over their last 15 matches in all competitions, Osipovichy have 6 wins, 5 draws and 4 defeats; Lida have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 15, 2017 | Neman-Agro(away) | 0-0 | 1. Division |
| Apr 8, 2017 | Belshina(away) | 0-3 | 1. Division |
| Nov 5, 2016 | Kletsk(away) | 0-2 | 2. Division |
| Oct 29, 2016 | ML Vitebsk(home) | 1-1 | 2. Division |
| Oct 22, 2016 | YuA-Stroy-DYuSSh(home) | 4-0 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 15, 2017 | Belshina(home) | 0-2 | 1. Division |
| Apr 8, 2017 | Smolevichi-Sti(away) | 1-3 | 1. Division |
| Nov 5, 2016 | Lokomotiv Gomel(home) | 1-0 | 1. Division |
| Oct 29, 2016 | Smorgon(away) | 0-1 | 1. Division |
| Oct 22, 2016 | Torpedo Minsk(home) | 2-1 | 1. Division |
How many goals should we expect?
Osipovichy score 1.8 and concede 1.3 goals per match over their last 15; Lida score 1.0 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Osipovichy | 1.8 | 1.3 | 4 | 8/15 | 7/15 |
| Lida | 1.0 | 0.9 | 7 | 5/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Osipovichy sit 18th in 1. Division (17 points from 21 matches) and Lida sit 3rd (39 points from 21 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Lida | 21 | 12 | 3 | 6 | 40 | 34 | 39 |
| 5 | Lida | 12 | 6 | 2 | 4 | 21 | 22 | 20 |
| 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