FC Slutsk vs Granit: result 2-0 and analysis
1. DivisionRegular Season - 4Kick-off on May 12, 2012 at 03:00 PM (UTC)Stadyen Haradski, Slutsk
Full time
What was the result of FC Slutsk vs Granit?
FC Slutsk won 2-0 on May 12, 2012.
Goalscorers
- 32′Igor BobkoFC Slutsk
- 82′Igor MakarovFC Slutsk (pen.)
Official lineup for FC Slutsk vs Granit
The starting elevens fielded at kick-off.
FC Slutsk
- SS. Zabolotskiy
- MM. Prakapenya
- SS. Ravina
- DDenis Yakubovich
- AA. Zhdanovich
- IIgor Bobko
- AAleksandr Davidovich
- SS. Tsvetinskiy
- AA. Molozhavy
- SS. Drozd
- SS. Mikhaylov
Granit
- MMikhail Gornak
- DD. Butramjev
- MMaksim Gukailo
- AA. Karnitskiy
- AA. Urupin
- DD. Filinovich
- KK. Yakubovskiy
- PPavel Lyutko
- AA. Bokhno
- EE. Golubev
- IIgor Khomliak
What is the recent form of both teams?
Over their last 2 matches in all competitions, FC Slutsk have 1 win, 1 draw and 0 defeats; Granit have 2, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 28, 2012 | Volna(away) | 1-1 | 1. Division |
| Apr 21, 2012 | Lida(home) | 5-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2012 | Volna(home) | 0-1 | 1. Division |
| Apr 28, 2012 | Lida(away) | 1-0 | 1. Division |
| Apr 21, 2012 | FC Vitebsk(home) | 1-0 | 1. Division |
How many goals should we expect?
FC Slutsk score 3.0 and concede 0.5 goals per match over their last 2; Granit score 0.7 and concede 0.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FC Slutsk | 3.0 | 0.5 | 1 | 1/2 | 1/2 |
| Granit | 0.7 | 0.3 | 2 | 0/3 | 0/3 |
Over the last 2 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | FC Slutsk | 28 | 18 | 6 | 4 | 57 | 28 | 60 |
A question about FC Slutsk vs Granit?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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