Lida vs Neman-Agro: result 2-0 and analysis
1. DivisionRegular Season - 19Kick-off on August 26, 2017 at 03:00 PM (UTC)Stadyen Start, Lida
Full time
What was the result of Lida vs Neman-Agro?
Lida won 2-0 on August 26, 2017.
Goalscorers
- 52′Oleg KoryakinLida (o.g.)
- 70′A. PetrovLida
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lida have 4 wins, 4 draws and 7 defeats; Neman-Agro have 2, 3 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 19, 2017 | Osipovichy(home) | 3-1 | 1. Division |
| Aug 12, 2017 | Belshina(away) | 1-2 | 1. Division |
| Aug 5, 2017 | Smolevichi-Sti(home) | 1-0 | 1. Division |
| Jul 19, 2017 | Slonim(home) | 1-1 | 1. Division |
| Jul 15, 2017 | Fc Luch Minsk(away) | 0-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 19, 2017 | Smorgon(away) | 1-1 | 1. Division |
| Aug 12, 2017 | Osipovichy(away) | 2-3 | 1. Division |
| Aug 5, 2017 | Baranovichi(away) | 1-3 | 1. Division |
| Jul 19, 2017 | Belshina(away) | 0-7 | 1. Division |
| Jul 15, 2017 | Ynergetyk-BDU(home) | 1-2 | 1. Division |
What does the head-to-head say?
Across the last 1 meetings: 0 Lida win(s), 1 draw(s), 0 Neman-Agro win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 29, 2017 | Neman-Agro 1-1 Lida | 1. Division |
How many goals should we expect?
Lida score 1.2 and concede 1.5 goals per match over their last 15; Neman-Agro score 0.9 and concede 2.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lida | 1.2 | 1.5 | 3 | 10/15 | 6/15 |
| Neman-Agro | 0.9 | 2.6 | 1 | 8/15 | 12/15 |
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