Neman-Agro vs Molodechno-DYuSSh 4: result 2-1 and analysis
2. DivisionRegular Season - 1Kick-off on April 15, 2018 at 02:00 PM (UTC)Stadyen Junatsva, Stoŭbcy
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What was the result of Neman-Agro vs Molodechno-DYuSSh 4?
Neman-Agro won 2-1 on April 15, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Neman-Agro have 0 wins, 1 draws and 14 defeats; Molodechno-DYuSSh 4 have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 11, 2017 | Belshina(home) | 2-10 | 1. Division |
| Nov 4, 2017 | Ynergetyk-BDU(away) | 0-1 | 1. Division |
| Oct 28, 2017 | Smolevichi-Sti(home) | 0-3 | 1. Division |
| Oct 21, 2017 | Volna(away) | 0-2 | 1. Division |
| Oct 14, 2017 | Slonim(home) | 2-3 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2017 | Viktoriya Maryina Horka(away) | 3-0 | 2. Division |
| Oct 21, 2017 | SDJuShOR-8(home) | 6-1 | 2. Division |
| Oct 14, 2017 | SMI Autotrans(home) | 4-5 | 2. Division |
| Oct 7, 2017 | YuA-Stroy-DYuSSh(away) | 1-2 | 2. Division |
| Sep 30, 2017 | Kletsk(home) | 1-1 | 2. Division |
What does the head-to-head say?
Across the last 2 meetings: 1 Neman-Agro win(s), 0 draw(s), 1 Molodechno-DYuSSh 4 win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 5, 2016 | Neman-Agro 1-0 Molodechno-DYuSSh 4 | 2. Division |
| Aug 7, 2016 | Molodechno-DYuSSh 4 4-1 Neman-Agro | 2. Division |
Last archived meeting: Neman-Agro vs Molodechno-DYuSSh 4 on Nov 5, 2016
How many goals should we expect?
Neman-Agro score 0.8 and concede 3.5 goals per match over their last 15; Molodechno-DYuSSh 4 score 3.2 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Neman-Agro | 0.8 | 3.5 | 0 | 7/15 | 10/15 |
| Molodechno-DYuSSh 4 | 3.2 | 1.7 | 3 | 12/15 | 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