Livadyya vs Miory: result 0-3 and analysis
2. DivisionRegular Season - 35Kick-off on October 28, 2012 at 12:00 PM (UTC)Stadyen Haradski
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What was the result of Livadyya vs Miory?
Miory won 0-3 on October 28, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Livadyya have 6 wins, 2 draws and 7 defeats; Miory have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2012 | Zabudova-2007(away) | 2-1 | 2. Division |
| Oct 14, 2012 | Slonim(home) | 1-2 | 2. Division |
| Oct 5, 2012 | Dnepr Mogilev II(home) | 2-1 | 2. Division |
| Sep 29, 2012 | MOFK(away) | 1-0 | 2. Division |
| Sep 22, 2012 | Zorka-BDU(home) | 3-4 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2012 | Vitebsk II(home) | 5-1 | 2. Division |
| Oct 14, 2012 | Dinamo Minsk II(away) | 0-2 | 2. Division |
| Oct 9, 2012 | Smolevichy(home) | 1-1 | 2. Division |
| Oct 5, 2012 | Osipovichy(away) | 0-1 | 2. Division |
| Sep 29, 2012 | Neman Mosty(away) | 1-4 | 2. Division |
What does the head-to-head say?
In the last meeting: 1 Livadyya win, 0 draws, 0 Miory wins.
| Date | Score | Competition |
|---|---|---|
| Jul 11, 2012 | Miory 2-3 Livadyya | 2. Division |
How many goals should we expect?
Livadyya score 1.5 and concede 1.6 goals per match over their last 15; Miory score 1.5 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Livadyya | 1.5 | 1.6 | 3 | 9/15 | 9/15 |
| Miory | 1.5 | 2.3 | 3 | 9/15 | 7/15 |
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 |
A question about Livadyya vs Miory?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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