Smorgon vs Belshina: result 0-1 and analysis
1. DivisionRegular Season - 24Kick-off on September 30, 2017 at 01:00 PM (UTC)Stadyen Junatstva, Smorgon
Full time
What was the result of Smorgon vs Belshina?
Belshina won 0-1 on September 30, 2017.
Goalscorers
- 34′D. GomzaBelshina
What is the recent form of both teams?
Over their last 15 matches in all competitions, Smorgon have 4 wins, 4 draws and 7 defeats; Belshina have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 23, 2017 | Smolevichi-Sti(away) | 1-0 | 1. Division |
| Sep 16, 2017 | Slonim(home) | 8-0 | 1. Division |
| Sep 9, 2017 | Fc Luch Minsk(away) | 1-1 | 1. Division |
| Sep 2, 2017 | Granit(home) | 1-3 | 1. Division |
| Aug 26, 2017 | Orsha(away) | 2-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 23, 2017 | Baranovichi(home) | 0-3 | 1. Division |
| Sep 16, 2017 | Ynergetyk-BDU(away) | 1-3 | 1. Division |
| Sep 9, 2017 | Volna(home) | 4-0 | 1. Division |
| Sep 2, 2017 | Khimik Svetlogorsk(away) | 3-1 | 1. Division |
| Aug 26, 2017 | Lokomotiv Gomel(home) | 1-2 | 1. Division |
What does the head-to-head say?
Across the last 1 meetings: 0 Smorgon win(s), 0 draw(s), 1 Belshina win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 3, 2017 | Belshina 4-1 Smorgon | 1. Division |
How many goals should we expect?
Smorgon score 1.6 and concede 1.7 goals per match over their last 15; Belshina score 2.1 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Smorgon | 1.6 | 1.7 | 4 | 9/15 | 8/15 |
| Belshina | 2.1 | 1.2 | 4 | 10/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Smorgon | 21 | 6 | 5 | 10 | 24 | 30 | 23 |
| 16 | Smorgon | 12 | 2 | 4 | 6 | 14 | 20 | 10 |
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