Polotsk vs Khimik Svetlogorsk: result 0-1 and analysis
1. DivisionRegular Season - 2Kick-off on April 27, 2013 at 01:00 PM (UTC)Stadyen Spartak, Polatsk
Full time
What was the result of Polotsk vs Khimik Svetlogorsk?
Khimik Svetlogorsk won 0-1 on April 27, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Polotsk have 4 wins, 2 draws and 9 defeats; Khimik Svetlogorsk have 2, 4 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 20, 2013 | FC Vitebsk(away) | 1-2 | 1. Division |
| Nov 17, 2012 | SKVICH(away) | 0-7 | 1. Division |
| Nov 10, 2012 | Byaroza 2010(home) | 4-1 | 1. Division |
| Nov 3, 2012 | Sputnik(away) | 0-3 | 1. Division |
| Oct 27, 2012 | FC Dnepr Mogilev(home) | 0-3 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 20, 2013 | Volna(away) | 0-2 | 1. Division |
| Nov 17, 2012 | Byaroza 2010(away) | 3-3 | 1. Division |
| Nov 10, 2012 | Sputnik(home) | 0-0 | 1. Division |
| Nov 3, 2012 | FC Dnepr Mogilev(away) | 1-6 | 1. Division |
| Oct 27, 2012 | Granit(home) | 1-2 | 1. Division |
What does the head-to-head say?
Across the last 2 meetings: 2 Polotsk wins, 0 draws, 0 Khimik Svetlogorsk wins.
| Date | Score | Competition |
|---|---|---|
| Aug 25, 2012 | Khimik Svetlogorsk 2-3 Polotsk | 1. Division |
| May 5, 2012 | Polotsk 2-0 Khimik Svetlogorsk | 1. Division |
Last archived meeting: Khimik Svetlogorsk vs Polotsk on Aug 25, 2012
How many goals should we expect?
Polotsk score 1.1 and concede 2.0 goals per match over their last 15; Khimik Svetlogorsk score 1.1 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Polotsk | 1.1 | 2.0 | 3 | 7/15 | 10/15 |
| Khimik Svetlogorsk | 1.1 | 2.1 | 2 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
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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