Rudensk vs Smorgon: result 1-0 and analysis
1. DivisionRegular Season - 4Kick-off on May 12, 2012 at 02:00 PM (UTC)Stadyen Haradski
Full time
What was the result of Rudensk vs Smorgon?
Rudensk won 1-0 on May 12, 2012.
Goalscorers
- 80′Aleksey GurkoRudensk
Official lineup for Rudensk vs Smorgon
The starting elevens fielded at kick-off.
Rudensk
- KK. Samokhval
- II. Davydenko
- DDmitriy Kharitanovich
- AAleksey Gurko
- DD. Tolkachev
- AA. Krivetskiy
- DD. Kalechits
- EE. Bogushevich
- AA. Fedoseev
- AA. Gaponov
- AA. Lukash
Smorgon
- AAleksey Dvoretskiy
- SS. Korsak
- AA. Shota
- YY. Kostyuchik
- EE. Semenov
- AA. Skshinetski
- VVitali Panasyuk
- VVladislav Dukso
- AA. Tarlikovskiy
- YY. Yurchenko
- AA. Gerasimovich
What is the recent form of both teams?
Over their last 3 matches in all competitions, Rudensk have 0 wins, 0 draws and 3 defeats; Smorgon have 1, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2012 | SKVICH(away) | 1-2 | 1. Division |
| Apr 28, 2012 | Byaroza 2010(home) | 0-1 | 1. Division |
| Apr 21, 2012 | Sputnik(away) | 1-2 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2012 | Gorodeya(home) | 0-1 | 1. Division |
| Apr 28, 2012 | Khimik Svetlogorsk(away) | 1-1 | 1. Division |
| Apr 21, 2012 | Polotsk(home) | 1-0 | 1. Division |
How many goals should we expect?
Rudensk score 0.7 and concede 1.7 goals per match over their last 3; Smorgon score 0.7 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rudensk | 0.7 | 1.7 | 0 | 2/3 | 2/3 |
| Smorgon | 0.7 | 0.7 | 1 | 1/3 | 0/3 |
Over the last 3 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 Rudensk vs Smorgon?
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