Zhlobin vs Livadyya: result 2-1 and analysis
2. DivisionRegular Season - 1Kick-off on May 4, 2013 at 02:00 PM (UTC)Stadyen Lakamatyu, Zhlobin
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What was the result of Zhlobin vs Livadyya?
Zhlobin won 2-1 on May 4, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Zhlobin have 5 wins, 2 draws and 8 defeats; Livadyya have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 17, 2012 | Smolevichy(away) | 1-6 | 2. Division |
| Nov 10, 2012 | Osipovichy(home) | 2-2 | 2. Division |
| Nov 4, 2012 | Miory(away) | 0-2 | 2. Division |
| Oct 31, 2012 | Lokomotiv Gomel(away) | 1-4 | 2. Division |
| Oct 28, 2012 | Zabudova-2007(home) | 3-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 17, 2012 | Dinamo Minsk II(away) | 0-7 | 2. Division |
| Nov 10, 2012 | Smolevichy(home) | 1-5 | 2. Division |
| Nov 4, 2012 | Osipovichy(away) | 0-1 | 2. Division |
| Oct 28, 2012 | Miory(home) | 0-3 | 2. Division |
| Oct 21, 2012 | Zabudova-2007(away) | 2-1 | 2. Division |
What does the head-to-head say?
Across the last 2 meetings: 2 Zhlobin wins, 0 draws, 0 Livadyya wins.
| Date | Score | Competition |
|---|---|---|
| Aug 18, 2012 | Zhlobin 1-0 Livadyya | 2. Division |
| May 5, 2012 | Livadyya 2-3 Zhlobin | 2. Division |
How many goals should we expect?
Zhlobin score 1.3 and concede 2.5 goals per match over their last 15; Livadyya score 1.1 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Zhlobin | 1.3 | 2.5 | 2 | 8/15 | 12/15 |
| Livadyya | 1.1 | 2.5 | 2 | 8/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Zhlobin | 21 | 7 | 0 | 14 | 34 | 79 | 21 |
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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