Rudensk vs DSK Gomel: result 2-1 and analysis
1. DivisionRegular Season - 9Kick-off on June 17, 2012 at 02:00 PM (UTC)Stadyen Haradski
Full time
What was the result of Rudensk vs DSK Gomel?
Rudensk won 2-1 on June 17, 2012.
Goalscorers
- 51′D. TolkachevRudensk
- 70′I. MisochenkoDSK Gomel
- 73′D. TolkachevRudensk
Official lineup for Rudensk vs DSK Gomel
The starting elevens fielded at kick-off.
Rudensk
- KK. Samokhval
- SSergei Bubnov
- DDmitriy Kharitanovich
- AAleksey Gurko
- DD. Tolkachev
- AA. Krivetskiy
- II. Sarasek
- EE. Bogushevich
- AA. Fedoseev
- AA. Gaponov
- AA. Lukash
DSK Gomel
- PP. Zubtsovskiy
- VV. Lagutin
- II. Misochenko
- DDmitri Ryabtsev
- AA. Kudryavtsev
- DD. Gradoboev
- AAleksey Pinchuk
- PPavel Tarasenko
- AA. Efremov
- IIlya Saplin
- OO. Kovalev
What is the recent form of both teams?
Over their last 7 matches in all competitions, Rudensk have 2 wins, 1 draw and 4 defeats; DSK Gomel have 0, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 2, 2012 | Gorodeya(away) | 0-3 | 1. Division |
| May 26, 2012 | Khimik Svetlogorsk(home) | 1-1 | 1. Division |
| May 19, 2012 | Polotsk(away) | 1-0 | 1. Division |
| May 12, 2012 | Smorgon(home) | 1-0 | 1. Division |
| May 5, 2012 | SKVICH(away) | 1-2 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 9, 2012 | Gorodeya(home) | 0-4 | 1. Division |
| Jun 2, 2012 | Khimik Svetlogorsk(away) | 2-2 | 1. Division |
| May 26, 2012 | Polotsk(home) | 0-1 | 1. Division |
| May 19, 2012 | Smorgon(away) | 0-2 | 1. Division |
| May 11, 2012 | SKVICH(home) | 0-3 | 1. Division |
How many goals should we expect?
Rudensk score 0.7 and concede 1.3 goals per match over their last 7; DSK Gomel score 0.3 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rudensk | 0.7 | 1.3 | 2 | 3/7 | 3/7 |
| DSK Gomel | 0.3 | 2.1 | 1 | 1/8 | 4/8 |
Over the last 7 matches in all competitions.
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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