ML Vitebsk vs Osipovichy: result 0-1 and analysis
2. DivisionGroup A - 17Kick-off on September 12, 2015 at 01:00 PM (UTC)Stadyen DYuSSh-1, Rohachev
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What was the result of ML Vitebsk vs Osipovichy?
Osipovichy won 0-1 on September 12, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, ML Vitebsk have 1 wins, 2 draws and 12 defeats; Osipovichy have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 5, 2015 | Torpedo Mogilev(away) | 0-3 | 2. Division |
| Sep 2, 2015 | Oshmyany(away) | 0-7 | 2. Division |
| Aug 29, 2015 | Molodechno-DYuSSh 4(home) | 0-2 | 2. Division |
| Aug 22, 2015 | Priozerie(away) | 0-1 | 2. Division |
| Aug 15, 2015 | Victoria Maryina Gorka(home) | 2-3 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 5, 2015 | Zhlobin(home) | 5-0 | 2. Division |
| Aug 29, 2015 | Oshmyany(away) | 0-1 | 2. Division |
| Aug 22, 2015 | Spartak(home) | 2-2 | 2. Division |
| Aug 16, 2015 | Feniks(away) | 0-1 | 2. Division |
| Aug 8, 2015 | Victoria Maryina Gorka(away) | 2-0 | 2. Division |
What does the head-to-head say?
Across the last 3 meetings: 1 ML Vitebsk win(s), 0 draw(s), 2 Osipovichy win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 27, 2015 | Osipovichy 2-0 ML Vitebsk | 2. Division |
| Aug 24, 2014 | ML Vitebsk 1-0 Osipovichy | 2. Division |
| Jun 15, 2014 | Osipovichy 4-2 ML Vitebsk | 2. Division |
Last archived meeting: Osipovichy vs ML Vitebsk on Jun 27, 2015
How many goals should we expect?
ML Vitebsk score 0.7 and concede 2.3 goals per match over their last 15; Osipovichy score 1.6 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| ML Vitebsk | 0.7 | 2.3 | 0 | 7/15 | 7/15 |
| Osipovichy | 1.6 | 1.6 | 3 | 10/15 | 10/15 |
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