FC Vitebsk vs Slonim: result 0-0 and analysis
1. DivisionRegular Season - 23Kick-off on October 5, 2013 at 01:00 PM (UTC)Stadyen Central'ny Vitsyebski, Vitebsk
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What was the result of FC Vitebsk vs Slonim?
FC Vitebsk and Slonim drew 0-0 on October 5, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, FC Vitebsk have 9 wins, 2 draws and 4 defeats; Slonim have 2, 7 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2013 | Gorodeya(away) | 1-3 | 1. Division |
| Sep 21, 2013 | Byaroza 2010(home) | 1-0 | 1. Division |
| Sep 15, 2013 | Smorgon(away) | 0-4 | 1. Division |
| Sep 11, 2013 | Lida(home) | 0-0 | 1. Division |
| Sep 7, 2013 | Granit(away) | 1-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2013 | Smolevichi-Sti(home) | 0-1 | 1. Division |
| Sep 21, 2013 | SKVICH(away) | 2-0 | 1. Division |
| Sep 15, 2013 | Minsk II(away) | 2-1 | 1. Division |
| Sep 11, 2013 | Gorodeya(home) | 2-2 | 1. Division |
| Sep 7, 2013 | Byaroza 2010(away) | 0-1 | 1. Division |
What does the head-to-head say?
In the last meeting: 1 FC Vitebsk win, 0 draws, 0 Slonim wins.
| Date | Score | Competition |
|---|---|---|
| Jun 8, 2013 | Slonim 1-4 FC Vitebsk | 1. Division |
How many goals should we expect?
FC Vitebsk score 1.4 and concede 1.2 goals per match over their last 15; Slonim score 1.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FC Vitebsk | 1.4 | 1.2 | 7 | 6/15 | 6/15 |
| Slonim | 1.1 | 1.5 | 2 | 10/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Slonim | 28 | 15 | 5 | 8 | 51 | 33 | 50 |
A question about FC Vitebsk vs Slonim?
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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