FC Gomel vs Smolevichi-Sti: result 2-1 and analysis
1. DivisionRegular Season - 22Kick-off on October 9, 2016 at 12:30 PM (UTC)Stadyen Central'ny, Gomel
Full time
What was the result of FC Gomel vs Smolevichi-Sti?
FC Gomel won 2-1 on October 9, 2016.
Goalscorers
- 47′Aleksey TeslyukFC Gomel
- 55′K. SidorenkoSmolevichi-Sti
- 61′R. YudenkovFC Gomel (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, FC Gomel have 11 wins, 3 draws and 1 defeats; Smolevichi-Sti have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 1, 2016 | Zorka-BDU(away) | 1-1 | 1. Division |
| Sep 25, 2016 | Slonim(home) | 2-0 | 1. Division |
| Sep 17, 2016 | Lida(away) | 0-0 | 1. Division |
| Sep 10, 2016 | Baranovichi(away) | 6-0 | 1. Division |
| Sep 4, 2016 | Khimik Svetlogorsk(home) | 2-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 1, 2016 | Khimik Svetlogorsk(home) | 3-0 | 1. Division |
| Sep 24, 2016 | Fc Luch Minsk(away) | 0-1 | 1. Division |
| Sep 17, 2016 | FC Dnepr Mogilev(home) | 0-1 | 1. Division |
| Sep 10, 2016 | Orsha(away) | 0-0 | 1. Division |
| Sep 3, 2016 | Oshmyany(home) | 4-0 | 1. Division |
What does the head-to-head say?
Across the last 1 meetings: 1 FC Gomel win(s), 0 draw(s), 0 Smolevichi-Sti win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 18, 2016 | Smolevichi-Sti 0-4 FC Gomel | 1. Division |
Last archived meeting: Smolevichi-Sti vs FC Gomel on Jun 18, 2016
How many goals should we expect?
FC Gomel score 2.3 and concede 0.5 goals per match over their last 15; Smolevichi-Sti score 1.4 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FC Gomel | 2.3 | 0.5 | 10 | 5/15 | 7/15 |
| Smolevichi-Sti | 1.4 | 1.1 | 5 | 4/15 | 8/15 |
Over the last 15 matches in all competitions.
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