Lida vs FC Gomel: result 0-0 and analysis
1. DivisionRegular Season - 19Kick-off on September 17, 2016 at 01:00 PM (UTC)Stadyen Start, Lida
Full time
What was the result of Lida vs FC Gomel?
Lida and FC Gomel drew 0-0 on September 17, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lida have 5 wins, 3 draws and 7 defeats; FC Gomel have 13, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2016 | Khimik Svetlogorsk(away) | 0-2 | 1. Division |
| Sep 2, 2016 | Fc Luch Minsk(home) | 1-0 | 1. Division |
| Aug 27, 2016 | FC Dnepr Mogilev(away) | 2-2 | 1. Division |
| Aug 20, 2016 | Orsha(home) | 2-2 | 1. Division |
| Aug 13, 2016 | Oshmyany(away) | 1-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2016 | Baranovichi(away) | 6-0 | 1. Division |
| Sep 4, 2016 | Khimik Svetlogorsk(home) | 2-1 | 1. Division |
| Aug 27, 2016 | Fc Luch Minsk(away) | 1-2 | 1. Division |
| Aug 21, 2016 | FC Dnepr Mogilev(home) | 3-2 | 1. Division |
| Aug 13, 2016 | Orsha(away) | 3-2 | 1. Division |
What does the head-to-head say?
Across the last 1 meetings: 0 Lida win(s), 0 draw(s), 1 FC Gomel win(s).
| Date | Score | Competition |
|---|---|---|
| May 22, 2016 | FC Gomel 2-0 Lida | 1. Division |
How many goals should we expect?
Lida score 1.1 and concede 1.8 goals per match over their last 15; FC Gomel score 2.5 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lida | 1.1 | 1.8 | 3 | 8/15 | 8/15 |
| FC Gomel | 2.5 | 0.5 | 10 | 5/15 | 8/15 |
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