Zabudova-2007 vs Osipovichy: result 1-0 and analysis
2. DivisionRegular Season - 8Kick-off on July 3, 2016 at 02:00 PM (UTC)Stadyen Škol'nyj, Chist'
Full time
What was the result of Zabudova-2007 vs Osipovichy?
Zabudova-2007 won 1-0 on July 3, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Zabudova-2007 have 3 wins, 1 draw and 11 defeats; Osipovichy have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 26, 2016 | Molodechno-DYuSSh 4(away) | 0-2 | 2. Division |
| Jun 19, 2016 | Vertykal(home) | 2-1 | 2. Division |
| Jun 5, 2016 | Volna(away) | 1-3 | 2. Division |
| May 29, 2016 | Dyussh-DSK(home) | 2-1 | 2. Division |
| May 21, 2016 | Neman-Agro(away) | 2-3 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 19, 2016 | Montazhnik(away) | 3-3 | 2. Division |
| Jun 4, 2016 | Molodechno-DYuSSh 4(home) | 1-0 | 2. Division |
| May 28, 2016 | Vertykal(home) | 2-1 | 2. Division |
| May 22, 2016 | Volna(away) | 0-4 | 2. Division |
| May 7, 2016 | Dyussh-DSK(home) | 1-0 | 2. Division |
What does the head-to-head say?
Across the last 2 meetings: 1 Zabudova-2007 win, 1 draw, 0 Osipovichy wins.
| Date | Score | Competition |
|---|---|---|
| Sep 29, 2012 | Zabudova-2007 1-1 Osipovichy | 2. Division |
| Jun 16, 2012 | Osipovichy 0-1 Zabudova-2007 | 2. Division |
Last archived meeting: Zabudova-2007 vs Osipovichy on Sep 29, 2012
How many goals should we expect?
Zabudova-2007 score 1.1 and concede 2.6 goals per match over their last 15; Osipovichy score 1.8 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Zabudova-2007 | 1.1 | 2.6 | 0 | 11/15 | 13/15 |
| Osipovichy | 1.8 | 1.9 | 3 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Zabudova-2007 vs Osipovichy?
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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