Miory vs Osipovichy: result 2-3 and analysis
2. DivisionMatchday 12Kick-off on June 22, 2012 at 10:00 PM (UTC)Stadyen Haradski
Full time
What was the result of Miory vs Osipovichy?
Osipovichy won 2-3 on June 22, 2012.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Miory have 1 win, 3 draws and 6 defeats; Osipovichy have 0, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 16, 2012 | Neman Mosty(home) | 0-2 | 2. Division |
| Jun 9, 2012 | Zabudova-2007(away) | 0-2 | 2. Division |
| Jun 3, 2012 | Slonim(home) | 0-0 | 2. Division |
| May 22, 2012 | Dnepr Mogilev II(home) | 2-4 | 2. Division |
| May 19, 2012 | MOFK(away) | 1-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 16, 2012 | Zabudova-2007(home) | 0-1 | 2. Division |
| Jun 9, 2012 | Slonim(away) | 0-2 | 2. Division |
| May 27, 2012 | Dnepr Mogilev II(away) | 0-6 | 2. Division |
| May 22, 2012 | MOFK(home) | 2-3 | 2. Division |
| May 19, 2012 | Zorka-BDU(away) | 0-2 | 2. Division |
How many goals should we expect?
Miory score 0.8 and concede 1.9 goals per match over their last 10; Osipovichy score 0.6 and concede 2.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Miory | 0.8 | 1.9 | 2 | 5/10 | 4/10 |
| Osipovichy | 0.6 | 2.6 | 0 | 4/10 | 6/10 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Miory | 18 | 15 | 1 | 2 | 84 | 26 | 46 |
A question about Miory vs Osipovichy?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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