Lida vs Slavia Mozyr: result 0-2 and analysis
1. DivisionRegular Season - 13Kick-off on June 30, 2018 at 11:00 AM (UTC)Stadyen Start, Lida
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What was the result of Lida vs Slavia Mozyr?
Slavia Mozyr won 0-2 on June 30, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lida have 6 wins, 4 draws and 5 defeats; Slavia Mozyr have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 23, 2018 | Khimik Svetlogorsk(away) | 0-0 | 1. Division |
| Jun 17, 2018 | Čist́(home) | 3-0 | 1. Division |
| Jun 9, 2018 | Orsha(away) | 1-0 | 1. Division |
| Jun 2, 2018 | Baranovichi(home) | 2-1 | 1. Division |
| May 20, 2018 | Belshina(away) | 0-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 23, 2018 | Belshina(home) | 3-0 | 1. Division |
| Jun 17, 2018 | Naftan(away) | 1-0 | 1. Division |
| Jun 9, 2018 | YuA-Stroy-DYuSSh(home) | 2-0 | 1. Division |
| Jun 2, 2018 | Granit(away) | 3-0 | 1. Division |
| May 27, 2018 | FC Energetik-Bgu Minsk(home) | 2-0 | 1. Division |
What does the head-to-head say?
Across the last 2 meetings: 0 Lida win(s), 0 draw(s), 2 Slavia Mozyr win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 20, 2014 | Lida 0-1 Slavia Mozyr | 1. Division |
| May 17, 2014 | Slavia Mozyr 3-1 Lida | 1. Division |
How many goals should we expect?
Lida score 1.1 and concede 0.9 goals per match over their last 15; Slavia Mozyr score 1.5 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lida | 1.1 | 0.9 | 5 | 7/15 | 6/15 |
| Slavia Mozyr | 1.5 | 0.8 | 9 | 4/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Lida | 21 | 12 | 3 | 6 | 40 | 34 | 39 |
| 5 | Lida | 12 | 6 | 2 | 4 | 21 | 22 | 20 |
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