Osipovichy vs Neman-Agro: result 5-1 and analysis
2. DivisionRegular Season - 7Kick-off on June 2, 2018 at 03:00 PM (UTC)Stadyen Junatstva, Osipovichy
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What was the result of Osipovichy vs Neman-Agro?
Osipovichy won 5-1 on June 2, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Osipovichy have 5 wins, 4 draws and 6 defeats; Neman-Agro have 2, 0 and 13.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 26, 2018 | Bumprom(away) | 3-0 | 2. Division |
| May 19, 2018 | Molodechno-DYuSSh 4(home) | 3-2 | 2. Division |
| May 5, 2018 | Kletsk(away) | 2-3 | 2. Division |
| Apr 29, 2018 | SMI Autotrans(home) | 1-1 | 2. Division |
| Apr 21, 2018 | Oshmyany(away) | 2-0 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 27, 2018 | NFK Minsk(home) | 1-6 | 2. Division |
| May 20, 2018 | Ruh Brest(away) | 1-4 | 2. Division |
| May 5, 2018 | Uzda(home) | 1-6 | 2. Division |
| Apr 21, 2018 | Bumprom(away) | 3-1 | 2. Division |
| Apr 15, 2018 | Molodechno-DYuSSh 4(home) | 2-1 | 2. Division |
What does the head-to-head say?
Across the last 4 meetings: 3 Osipovichy win(s), 1 draw(s), 0 Neman-Agro win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 12, 2017 | Osipovichy 3-2 Neman-Agro | 1. Division |
| Apr 15, 2017 | Neman-Agro 0-0 Osipovichy | 1. Division |
| Aug 13, 2016 | Osipovichy 2-0 Neman-Agro | 2. Division |
| Apr 30, 2016 | Neman-Agro 0-1 Osipovichy | 2. Division |
Last archived meeting: Osipovichy vs Neman-Agro on Aug 12, 2017
How many goals should we expect?
Osipovichy score 1.4 and concede 2.0 goals per match over their last 15; Neman-Agro score 0.9 and concede 3.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Osipovichy | 1.4 | 2.0 | 3 | 8/15 | 7/15 |
| Neman-Agro | 0.9 | 3.7 | 0 | 8/15 | 12/15 |
Over the last 15 matches in all competitions.
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