FC Slutsk vs Slonim: result 1-1 and analysis
1. DivisionRegular Season - 11Kick-off on June 29, 2013 at 03:00 PM (UTC)Stadyen Haradski, Slutsk
Full time
What was the result of FC Slutsk vs Slonim?
FC Slutsk and Slonim drew 1-1 on June 29, 2013.
Goalscorers
- 40′Artem GuzikSlonim
- 77′S. TsvetinskiyFC Slutsk
What is the recent form of both teams?
Over their last 15 matches in all competitions, FC Slutsk have 9 wins, 2 draws and 4 defeats; Slonim have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 22, 2013 | Gorodeya(away) | 1-1 | 1. Division |
| Jun 16, 2013 | Byaroza 2010(home) | 2-0 | 1. Division |
| Jun 8, 2013 | Smorgon(away) | 4-0 | 1. Division |
| Jun 1, 2013 | Lida(home) | 3-3 | 1. Division |
| May 24, 2013 | Granit(away) | 2-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 22, 2013 | Sputnik(home) | 3-3 | 1. Division |
| Jun 16, 2013 | Khimik Svetlogorsk(away) | 0-1 | 1. Division |
| Jun 8, 2013 | FC Vitebsk(home) | 1-4 | 1. Division |
| Jun 1, 2013 | Smolevichi-Sti(away) | 1-5 | 1. Division |
| May 24, 2013 | SKVICH(home) | 2-1 | 1. Division |
How many goals should we expect?
FC Slutsk score 1.7 and concede 0.9 goals per match over their last 15; Slonim score 1.3 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FC Slutsk | 1.7 | 0.9 | 6 | 7/15 | 8/15 |
| Slonim | 1.3 | 2.3 | 2 | 10/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
FC Slutsk sit 2nd in 1. Division (41 points from 21 matches) and Slonim sit 5th (36 points from 21 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | FC Slutsk | 11 | 9 | 1 | 1 | 26 | 13 | 28 |
| 2 | FC Slutsk | 21 | 12 | 5 | 4 | 39 | 22 | 41 |
| 4 | Slonim | 12 | 7 | 2 | 3 | 21 | 10 | 23 |
| 5 | Slonim | 21 | 11 | 3 | 7 | 39 | 26 | 36 |
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