Zabudova-2007 vs Smolevichy: result 0-5 and analysis
2. DivisionMatchday 12Kick-off on June 22, 2012 at 10:00 PM (UTC)Stadyen Haradski, Chist'
Full time
What was the result of Zabudova-2007 vs Smolevichy?
Smolevichy won 0-5 on June 22, 2012.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Zabudova-2007 have 6 wins, 0 draws and 4 defeats; Smolevichy have 7, 3 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 16, 2012 | Osipovichy(away) | 1-0 | 2. Division |
| Jun 9, 2012 | Miory(home) | 2-0 | 2. Division |
| Jun 3, 2012 | Neman Mosty(home) | 1-2 | 2. Division |
| May 27, 2012 | Slonim(away) | 1-4 | 2. Division |
| May 19, 2012 | Dnepr Mogilev II(away) | 1-0 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 16, 2012 | Slonim(home) | 6-1 | 2. Division |
| Jun 3, 2012 | Dnepr Mogilev II(home) | 6-0 | 2. Division |
| May 27, 2012 | MOFK(away) | 3-0 | 2. Division |
| May 22, 2012 | Zorka-BDU(home) | 1-1 | 2. Division |
| May 19, 2012 | Minsk II(away) | 2-1 | 2. Division |
How many goals should we expect?
Zabudova-2007 score 1.7 and concede 1.8 goals per match over their last 10; Smolevichy score 3.3 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Zabudova-2007 | 1.7 | 1.8 | 4 | 6/10 | 6/10 |
| Smolevichy | 3.3 | 0.6 | 5 | 5/10 | 7/10 |
Over the last 10 matches in all competitions.
A question about Zabudova-2007 vs Smolevichy?
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