Smorgon vs Polotsk: result 3-0 and analysis
1. DivisionRegular Season - 10Kick-off on June 22, 2013 at 03:00 PM (UTC)Stadyen Junatstva, Smorgon
Full time
What was the result of Smorgon vs Polotsk?
Smorgon won 3-0 on June 22, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Smorgon have 3 wins, 4 draws and 8 defeats; Polotsk have 3, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 16, 2013 | Volna(away) | 2-1 | 1. Division |
| Jun 8, 2013 | FC Slutsk(home) | 0-4 | 1. Division |
| Jun 1, 2013 | Sputnik(away) | 1-1 | 1. Division |
| May 24, 2013 | Khimik Svetlogorsk(home) | 4-2 | 1. Division |
| May 18, 2013 | FC Vitebsk(away) | 2-3 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 16, 2013 | Lida(home) | 1-1 | 1. Division |
| Jun 8, 2013 | Granit(away) | 1-0 | 1. Division |
| Jun 1, 2013 | FC Isloch Minsk R.(home) | 1-2 | 1. Division |
| May 24, 2013 | Minsk II(away) | 0-1 | 1. Division |
| May 18, 2013 | Volna(away) | 0-2 | 1. Division |
What does the head-to-head say?
Across the last 2 meetings: 1 Smorgon win, 1 draw, 0 Polotsk wins.
| Date | Score | Competition |
|---|---|---|
| Aug 11, 2012 | Polotsk 0-0 Smorgon | 1. Division |
| Apr 21, 2012 | Smorgon 1-0 Polotsk | 1. Division |
How many goals should we expect?
Smorgon score 1.1 and concede 1.7 goals per match over their last 15; Polotsk score 0.8 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Smorgon | 1.1 | 1.7 | 1 | 9/15 | 8/15 |
| Polotsk | 0.8 | 1.9 | 2 | 7/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 9 | Smorgon | 28 | 10 | 6 | 12 | 35 | 36 | 36 |
A question about Smorgon vs Polotsk?
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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