DSK Gomel vs SKVICH: result 0-3 and analysis
1. DivisionRegular Season - 4Kick-off on May 11, 2012 at 12:30 PM (UTC)Stadyen DYuSSh-8, Gomel
Full time
What was the result of DSK Gomel vs SKVICH?
SKVICH won 0-3 on May 11, 2012.
Goalscorers
- 37′Denis SashchekoSKVICH
- 49′Y. MarkhelSKVICH (pen.)
- 68′Y. MarkhelSKVICH
Official lineup for DSK Gomel vs SKVICH
The starting elevens fielded at kick-off.
DSK Gomel
- AA. Klop
- VV. Lagutin
- II. Misochenko
- DDmitri Ryabtsev
- AA. Kudryavtsev
- DD. Gradoboev
- AAleksey Pinchuk
- PPavel Tarasenko
- AA. Efremov
- IIlya Saplin
- OO. Kovalev
SKVICH
- DDenis Sashcheko
- VVitaly Shepetovskiy
- AAleksandr Mikhnovets
- VVladimir Margulets
- SS. Shumanov
- VV. Zamara
- YY. Markhel
- AAleksey Belousov
- VVladimir Shibeko
- DD. Lekhavitskiy
- VVitali Makauchyk
What is the recent form of both teams?
Over their last 3 matches in all competitions, DSK Gomel have 0 wins, 1 draw and 2 defeats; SKVICH 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 |
|---|---|---|---|
| May 5, 2012 | Byaroza 2010(away) | 0-1 | 1. Division |
| Apr 28, 2012 | Sputnik(home) | 0-0 | 1. Division |
| Apr 21, 2012 | FC Dnepr Mogilev(away) | 0-4 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2012 | Rudensk(home) | 2-1 | 1. Division |
| Apr 28, 2012 | Gorodeya(away) | 0-1 | 1. Division |
| Apr 21, 2012 | Khimik Svetlogorsk(home) | 2-0 | 1. Division |
How many goals should we expect?
DSK Gomel score 0.0 and concede 1.7 goals per match over their last 3; SKVICH score 1.3 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| DSK Gomel | 0.0 | 1.7 | 1 | 0/3 | 1/3 |
| SKVICH | 1.3 | 0.7 | 1 | 1/3 | 1/3 |
Over the last 3 matches in all competitions.
A question about DSK Gomel vs SKVICH?
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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