Smorgon vs Ruh Brest: result 0-3 and analysis
1. DivisionRegular Season - 21Kick-off on September 21, 2019 at 01:30 PM (UTC)Stadyen Junatstva, Smorgon
Full time
What was the result of Smorgon vs Ruh Brest?
Ruh Brest won 0-3 on September 21, 2019.
Goalscorers
- 62′Vadim DemidovichRuh Brest
- 88′D. GrechikhoRuh Brest
- 90′D. SibilevRuh Brest
What is the recent form of both teams?
Over their last 15 matches in all competitions, Smorgon have 4 wins, 3 draws and 8 defeats; Ruh Brest have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2019 | NFK Minsk(away) | 0-4 | 1. Division |
| Sep 7, 2019 | Lida(home) | 0-0 | 1. Division |
| Aug 31, 2019 | Orsha(away) | 1-3 | 1. Division |
| Aug 24, 2019 | Belshina(home) | 0-0 | 1. Division |
| Aug 17, 2019 | Sputnik(away) | 5-3 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2019 | Naftan(away) | 2-2 | 1. Division |
| Sep 7, 2019 | NFK Minsk(home) | 0-1 | 1. Division |
| Aug 31, 2019 | Lida(away) | 4-2 | 1. Division |
| Aug 24, 2019 | Orsha(away) | 2-1 | 1. Division |
| Aug 17, 2019 | Belshina(away) | 2-2 | 1. Division |
What does the head-to-head say?
Across the last 1 meetings: 0 Smorgon win(s), 0 draw(s), 1 Ruh Brest win(s).
| Date | Score | Competition |
|---|---|---|
| May 18, 2019 | Ruh Brest 3-0 Smorgon | 1. Division |
How many goals should we expect?
Smorgon score 1.7 and concede 2.5 goals per match over their last 15; Ruh Brest score 2.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Smorgon | 1.7 | 2.5 | 3 | 8/15 | 12/15 |
| Ruh Brest | 2.5 | 1.3 | 3 | 9/15 | 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