Smorgon vs FC Gomel: result 1-4 and analysis
Coppa16th FinalsKick-off on July 27, 2019 at 02:00 PM (UTC)Stadyen Junatstva, Smorgon
Full time
What was the result of Smorgon vs FC Gomel?
FC Gomel won 1-4 on July 27, 2019.
Goalscorers
- 14′A. ShramchenkoFC Gomel
- 17′Nivaldo Rodrigues FerreiraFC Gomel
- 44′R. BolovFC Gomel
- 69′Vitalii KvashukFC Gomel (pen.)
- 78′V. KabachevskiySmorgon (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Smorgon have 3 wins, 1 draws and 11 defeats; FC Gomel have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 20, 2019 | Volna(away) | 4-2 | 1. Division |
| Jul 13, 2019 | Granit(away) | 1-3 | 1. Division |
| Jul 6, 2019 | Smolevichi-Sti(away) | 0-1 | 1. Division |
| Jun 30, 2019 | Slonim(home) | 2-2 | 1. Division |
| Jun 22, 2019 | Khimik Svetlogorsk(away) | 0-4 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 19, 2019 | Neman(away) | 1-1 | Premier League |
| Jul 13, 2019 | Torpedo Minsk(away) | 2-1 | Premier League |
| Jul 7, 2019 | Gorodeya(home) | 0-0 | Premier League |
| Jun 29, 2019 | FC Minsk(away) | 2-3 | Premier League |
| Jun 23, 2019 | Slavia Mozyr(home) | 2-2 | Premier League |
What does the head-to-head say?
Across the last 2 meetings: 0 Smorgon win(s), 1 draw(s), 1 FC Gomel win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 23, 2016 | FC Gomel 0-0 Smorgon | 1. Division |
| Jul 3, 2016 | Smorgon 0-2 FC Gomel | 1. Division |
How many goals should we expect?
Smorgon score 1.4 and concede 2.5 goals per match over their last 15; FC Gomel score 1.5 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Smorgon | 1.4 | 2.5 | 1 | 8/15 | 12/15 |
| FC Gomel | 1.5 | 1.7 | 3 | 9/15 | 10/15 |
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