Miory vs Zabudova-2007: result 4-1 and analysis
2. DivisionRegular Season - 29Kick-off on September 23, 2012 at 11:00 AM (UTC)Stadyen Haradski
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What was the result of Miory vs Zabudova-2007?
Miory won 4-1 on September 23, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Miory have 4 wins, 4 draws and 7 defeats; Zabudova-2007 have 5, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 16, 2012 | Slonim(away) | 2-4 | 2. Division |
| Sep 8, 2012 | Dnepr Mogilev II(away) | 2-2 | 2. Division |
| Aug 31, 2012 | MOFK(home) | 2-2 | 2. Division |
| Aug 25, 2012 | Zorka-BDU(away) | 1-1 | 2. Division |
| Aug 22, 2012 | Minsk II(home) | 1-0 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 16, 2012 | Neman Mosty(away) | 0-2 | 2. Division |
| Sep 11, 2012 | Slonim(home) | 1-2 | 2. Division |
| Aug 31, 2012 | Dnepr Mogilev II(home) | 3-2 | 2. Division |
| Aug 28, 2012 | BelCard(home) | 1-2 | 2. Division |
| Aug 25, 2012 | MOFK(away) | 2-2 | 2. Division |
What does the head-to-head say?
Across the last 1 meetings: 0 Miory win(s), 0 draw(s), 1 Zabudova-2007 win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 9, 2012 | Zabudova-2007 2-0 Miory | 2. Division |
Last archived meeting: Zabudova-2007 vs Miory on Jun 9, 2012
How many goals should we expect?
Miory score 1.3 and concede 2.9 goals per match over their last 15; Zabudova-2007 score 1.3 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Miory | 1.3 | 2.9 | 4 | 9/15 | 8/15 |
| Zabudova-2007 | 1.3 | 2.2 | 2 | 9/15 | 12/15 |
Over the last 15 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 |
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