FC Gomel vs Slonim: result 2-0 and analysis
1. DivisionRegular Season - 20Kick-off on September 25, 2016 at 01:00 PM (UTC)Stadyen Central'ny, Gomel
Full time
What was the result of FC Gomel vs Slonim?
FC Gomel won 2-0 on September 25, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, FC Gomel have 12 wins, 2 draws and 1 defeat; Slonim have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Aug 27, 2016 | Fc Luch Minsk(away) | 1-2 | 1. Division |
| Aug 21, 2016 | FC Dnepr Mogilev(home) | 3-2 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2016 | Khimik Svetlogorsk(home) | 1-1 | 1. Division |
| Sep 10, 2016 | Fc Luch Minsk(away) | 0-0 | 1. Division |
| Sep 3, 2016 | FC Dnepr Mogilev(home) | 0-2 | 1. Division |
| Aug 27, 2016 | Orsha(away) | 0-2 | 1. Division |
| Aug 20, 2016 | Oshmyany(home) | 4-0 | 1. Division |
What does the head-to-head say?
In the last meeting: 1 FC Gomel win, 0 draws, 0 Slonim wins.
| Date | Score | Competition |
|---|---|---|
| May 28, 2016 | Slonim 0-2 FC Gomel | 1. Division |
How many goals should we expect?
FC Gomel score 2.5 and concede 0.5 goals per match over their last 15; Slonim score 1.6 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FC Gomel | 2.5 | 0.5 | 10 | 5/15 | 8/15 |
| Slonim | 1.6 | 1.5 | 3 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Slonim | 28 | 15 | 5 | 8 | 51 | 33 | 50 |
A question about FC Gomel vs Slonim?
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