Smorgon vs Belshina: result 1-2 and analysis
CoppaRound of 16Kick-off on July 26, 2024 at 03:30 PM (UTC)Stadyen Junatstva, Smorgon
Full time
What was the result of Smorgon vs Belshina?
Belshina won 1-2 on July 26, 2024.
Goalscorers
- 18′Yuri GavrilovBelshina
- 39′V. DavydovBelshina
- 78′M. BambaSmorgon
What is the recent form of both teams?
Over their last 15 matches in all competitions, Smorgon have 5 wins, 7 draws and 3 defeats; Belshina have 10, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 13, 2024 | Baranovichi(away) | 1-0 | Coppa |
| Jul 6, 2024 | Bate Borisov(home) | 0-0 | Premier League |
| Jun 29, 2024 | Neman(away) | 1-2 | Premier League |
| Jun 21, 2024 | FC Slutsk(home) | 4-1 | Premier League |
| Jun 16, 2024 | Arsenal(away) | 0-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 20, 2024 | Dinamo Minsk II(home) | 3-1 | 1. Division |
| Jul 12, 2024 | FC Minsk(home) | 3-1 | Coppa |
| Jul 6, 2024 | Lokomotiv Gomel(away) | 2-0 | 1. Division |
| Jun 30, 2024 | BATE II(home) | 1-0 | 1. Division |
| Jun 22, 2024 | Shakhtyor Petrikov(away) | 5-3 | 1. Division |
What does the head-to-head say?
Across the last 6 meetings: 1 Smorgon win(s), 1 draw(s), 4 Belshina win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 5, 2023 | Belshina 2-0 Smorgon | Premier League |
| Mar 19, 2023 | Smorgon 1-0 Belshina | Premier League |
| Aug 24, 2019 | Smorgon 0-0 Belshina | 1. Division |
| Apr 20, 2019 | Belshina 4-1 Smorgon | 1. Division |
| Nov 3, 2018 | Belshina 2-0 Smorgon | 1. Division |
| Jul 7, 2018 | Smorgon 0-3 Belshina | 1. Division |
How many goals should we expect?
Smorgon score 1.4 and concede 1.3 goals per match over their last 15; Belshina score 2.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Smorgon | 1.4 | 1.3 | 4 | 9/15 | 7/15 |
| Belshina | 2.5 | 1.3 | 5 | 9/15 | 11/15 |
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