Smorgon vs SKVICH: result 0-0 and analysis
1. DivisionRegular Season - 3Kick-off on May 4, 2013 at 01:00 PM (UTC)Stadyen Junatstva, Smorgon
Full time
What was the result of Smorgon vs SKVICH?
Smorgon and SKVICH drew 0-0 on May 4, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Smorgon have 4 wins, 3 draws and 8 defeats; SKVICH have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 27, 2013 | Slonim(home) | 3-2 | 1. Division |
| Apr 20, 2013 | Gorodeya(away) | 0-1 | 1. Division |
| Nov 10, 2012 | SKVICH(home) | 1-2 | 1. Division |
| Nov 3, 2012 | Byaroza 2010(away) | 1-1 | 1. Division |
| Oct 27, 2012 | Sputnik(home) | 1-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 27, 2013 | Lida(away) | 0-3 | 1. Division |
| 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 |
What does the head-to-head say?
Across the last 2 meetings: 0 Smorgon wins, 0 draws, 2 SKVICH wins.
| Date | Score | Competition |
|---|---|---|
| Nov 10, 2012 | Smorgon 1-2 SKVICH | 1. Division |
| Jul 14, 2012 | SKVICH 5-0 Smorgon | 1. Division |
How many goals should we expect?
Smorgon score 0.9 and concede 1.3 goals per match over their last 15; SKVICH score 2.5 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Smorgon | 0.9 | 1.3 | 3 | 6/15 | 7/15 |
| SKVICH | 2.5 | 0.9 | 6 | 5/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Smorgon | 28 | 10 | 6 | 12 | 35 | 36 | 36 |
A question about Smorgon 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