Smorgon vs SKVICH: result 3-0 and analysis
1. DivisionRegular Season - 18Kick-off on September 7, 2013 at 02:00 PM (UTC)Stadyen Junatstva, Smorgon
Full time
What was the result of Smorgon vs SKVICH?
Smorgon won 3-0 on September 7, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Smorgon have 6 wins, 4 draws and 5 defeats; SKVICH have 1, 3 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 31, 2013 | Slonim(away) | 1-1 | 1. Division |
| Aug 17, 2013 | Gorodeya(home) | 2-1 | 1. Division |
| Aug 10, 2013 | FC Isloch Minsk R.(away) | 0-0 | 1. Division |
| Aug 3, 2013 | Byaroza 2010(home) | 0-1 | 1. Division |
| Jul 20, 2013 | Minsk II(away) | 0-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 31, 2013 | Lida(home) | 1-2 | 1. Division |
| Aug 17, 2013 | Granit(home) | 0-0 | 1. Division |
| Aug 3, 2013 | FC Isloch Minsk R.(away) | 1-2 | 1. Division |
| Jul 20, 2013 | Polotsk(home) | 0-0 | 1. Division |
| Jul 13, 2013 | Volna(away) | 0-1 | 1. Division |
What does the head-to-head say?
Across the last 3 meetings: 0 Smorgon win(s), 1 draw(s), 2 SKVICH win(s).
| Date | Score | Competition |
|---|---|---|
| May 4, 2013 | Smorgon 0-0 SKVICH | 1. Division |
| 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 1.5 and concede 1.1 goals per match over their last 15; SKVICH score 0.7 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Smorgon | 1.5 | 1.1 | 4 | 7/15 | 8/15 |
| SKVICH | 0.7 | 1.7 | 3 | 6/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Smorgon | 21 | 6 | 5 | 10 | 24 | 30 | 23 |
| 16 | Smorgon | 12 | 2 | 4 | 6 | 14 | 20 | 10 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy