Gorodeya vs Slonim: result 6-2 and analysis
1. DivisionRegular Season - 4Kick-off on May 11, 2013 at 02:00 PM (UTC)Stadyen Haradzeya, Haradzeya
Full time
What was the result of Gorodeya vs Slonim?
Gorodeya won 6-2 on May 11, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gorodeya have 12 wins, 1 draw and 2 defeats; Slonim have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2013 | Minsk II(home) | 2-0 | 1. Division |
| Apr 27, 2013 | Byaroza 2010(away) | 2-0 | 1. Division |
| Apr 20, 2013 | Smorgon(home) | 1-0 | 1. Division |
| Nov 17, 2012 | Sputnik(away) | 1-0 | 1. Division |
| Nov 10, 2012 | FC Dnepr Mogilev(home) | 3-2 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2013 | Byaroza 2010(home) | 0-0 | 1. Division |
| Apr 27, 2013 | Smorgon(away) | 2-3 | 1. Division |
| Apr 20, 2013 | Lida(home) | 2-2 | 1. Division |
| Nov 17, 2012 | FC Isloch Minsk R.(home) | 0-3 | 2. Division |
| Nov 10, 2012 | Lokomotiv Gomel(away) | 0-1 | 2. Division |
How many goals should we expect?
Gorodeya score 1.9 and concede 0.7 goals per match over their last 15; Slonim score 1.3 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gorodeya | 1.9 | 0.7 | 10 | 4/15 | 5/15 |
| Slonim | 1.3 | 1.7 | 2 | 10/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 5 | Slonim | 28 | 15 | 5 | 8 | 51 | 33 | 50 |
A question about Gorodeya vs Slonim?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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