Molodechno-DYuSSh 4 vs Priozerie: result 5-0 and analysis
2. DivisionGroup A · Matchday 16Kick-off on September 5, 2015 at 01:00 PM (UTC)Stadyen Haradski, Slutsk
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What was the result of Molodechno-DYuSSh 4 vs Priozerie?
Molodechno-DYuSSh 4 won 5-0 on September 5, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Molodechno-DYuSSh 4 have 10 wins, 3 draws and 2 defeats; Priozerie have 1, 3 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 29, 2015 | ML Vitebsk(away) | 2-0 | 2. Division |
| Aug 22, 2015 | Zhlobin(home) | 2-3 | 2. Division |
| Aug 15, 2015 | Oshmyany(away) | 0-0 | 2. Division |
| Aug 8, 2015 | Spartak(home) | 3-0 | 2. Division |
| Aug 1, 2015 | Feniks(away) | 3-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 2, 2015 | Spartak(away) | 0-2 | 2. Division |
| Aug 29, 2015 | Victoria Maryina Gorka(home) | 2-2 | 2. Division |
| Aug 22, 2015 | ML Vitebsk(home) | 1-0 | 2. Division |
| Aug 15, 2015 | Zhlobin(away) | 0-3 | 2. Division |
| Aug 8, 2015 | Oshmyany(home) | 0-0 | 2. Division |
What does the head-to-head say?
In the last meeting: 1 Molodechno-DYuSSh 4 win, 0 draws, 0 Priozerie wins.
| Date | Score | Competition |
|---|---|---|
| Jun 20, 2015 | Priozerie 1-7 Molodechno-DYuSSh 4 | 2. Division |
Last archived meeting: Priozerie vs Molodechno-DYuSSh 4 on Jun 20, 2015
How many goals should we expect?
Molodechno-DYuSSh 4 score 2.5 and concede 0.8 goals per match over their last 15; Priozerie score 0.7 and concede 2.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Molodechno-DYuSSh 4 | 2.5 | 0.8 | 7 | 8/15 | 10/15 |
| Priozerie | 0.7 | 2.9 | 2 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Molodechno-DYuSSh 4 vs Priozerie?
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