Neman-Agro vs Molodechno-DYuSSh 4: result 1-0 and analysis
2. DivisionRegular Season - 26Kick-off on November 5, 2016 at 10:00 AM (UTC)Stadyen Junatsva, Stoŭbcy
Full time
What was the result of Neman-Agro vs Molodechno-DYuSSh 4?
Neman-Agro won 1-0 on November 5, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Neman-Agro have 8 wins, 3 draws and 4 defeats; Molodechno-DYuSSh 4 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 |
|---|---|---|---|
| Oct 30, 2016 | Vertykal(away) | 1-0 | 2. Division |
| Oct 22, 2016 | Volna(home) | 2-1 | 2. Division |
| Oct 15, 2016 | Dyussh-DSK(home) | 2-1 | 2. Division |
| Oct 9, 2016 | Montazhnik(away) | 2-0 | 2. Division |
| Oct 1, 2016 | Kletsk(home) | 2-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2016 | Kletsk(home) | 0-2 | 2. Division |
| Oct 22, 2016 | ML Vitebsk(away) | 2-0 | 2. Division |
| Oct 15, 2016 | YuA-Stroy-DYuSSh(home) | 14-0 | 2. Division |
| Oct 8, 2016 | Torpedo Mogilev(away) | 2-1 | 2. Division |
| Oct 1, 2016 | Viktoriya Maryina Horka(home) | 2-2 | 2. Division |
What does the head-to-head say?
In the last meeting: 0 Neman-Agro wins, 0 draws, 1 Molodechno-DYuSSh 4 win.
| Date | Score | Competition |
|---|---|---|
| Aug 7, 2016 | Molodechno-DYuSSh 4 4-1 Neman-Agro | 2. Division |
Last archived meeting: Molodechno-DYuSSh 4 vs Neman-Agro on Aug 7, 2016
How many goals should we expect?
Neman-Agro score 2.3 and concede 1.4 goals per match over their last 15; Molodechno-DYuSSh 4 score 2.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Neman-Agro | 2.3 | 1.4 | 5 | 9/15 | 10/15 |
| Molodechno-DYuSSh 4 | 2.5 | 1.3 | 3 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Neman-Agro vs Molodechno-DYuSSh 4?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy