Lida vs SKVICH: result 3-0 and analysis
1. DivisionRegular Season - 2Kick-off on April 27, 2013 at 01:00 PM (UTC)Stadyen Start, Lida
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What was the result of Lida vs SKVICH?
Lida won 3-0 on April 27, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lida have 4 wins, 2 draws and 9 defeats; SKVICH have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 20, 2013 | Slonim(away) | 2-2 | 1. Division |
| Nov 17, 2012 | Volna(away) | 0-1 | 1. Division |
| Nov 3, 2012 | FC Vitebsk(home) | 0-5 | 1. Division |
| Oct 27, 2012 | DSK Gomel(away) | 3-1 | 1. Division |
| Oct 20, 2012 | Rudensk(home) | 1-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 20, 2013 | Granit(away) | 0-1 | 1. Division |
| Nov 17, 2012 | Polotsk(home) | 7-0 | 1. Division |
| Nov 10, 2012 | Smorgon(away) | 2-1 | 1. Division |
| Oct 27, 2012 | Byaroza 2010(home) | 7-1 | 1. Division |
| Oct 20, 2012 | Sputnik(away) | 0-3 | 1. Division |
What does the head-to-head say?
Across the last 2 meetings: 0 Lida wins, 1 draw, 1 SKVICH win.
| Date | Score | Competition |
|---|---|---|
| Sep 15, 2012 | SKVICH 3-0 Lida | 1. Division |
| May 26, 2012 | Lida 1-1 SKVICH | 1. Division |
How many goals should we expect?
Lida score 1.1 and concede 2.2 goals per match over their last 15; SKVICH score 2.6 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lida | 1.1 | 2.2 | 3 | 7/15 | 10/15 |
| SKVICH | 2.6 | 0.7 | 7 | 5/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Lida | 28 | 18 | 3 | 7 | 52 | 43 | 57 |
A question about Lida vs SKVICH?
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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