Bumprom vs Smorgon: result 2-1 and analysis
1. DivisionRegular Season - 12Kick-off on June 20, 2026 at 10:00 AM (UTC)
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What was the result of Bumprom vs Smorgon?
Bumprom won 2-1 on June 20, 2026.
Goalscorers
- 49′E. MychelkinSmorgon
- 76′I. GrudkoBumprom
- 85′K. SidorenkoBumprom
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bumprom have 8 wins, 2 draws and 5 defeats; Smorgon have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 13, 2026 | Shakhter Soligorsk(home) | 6-2 | 1. Division |
| Jun 6, 2026 | Minsk II(away) | 1-1 | 1. Division |
| May 31, 2026 | Osipovichy(home) | 5-1 | 1. Division |
| May 27, 2026 | Bobovnya(away) | 2-0 | Coppa |
| May 23, 2026 | Lida(away) | 2-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 14, 2026 | Minsk II(home) | 1-0 | 1. Division |
| Jun 6, 2026 | Osipovichy(away) | 5-0 | 1. Division |
| May 31, 2026 | Lida(home) | 4-4 | 1. Division |
| May 27, 2026 | Vertical(away) | 7-0 | Coppa |
| May 23, 2026 | Niva(away) | 0-3 | 1. Division |
How many goals should we expect?
Bumprom score 2.1 and concede 1.3 goals per match over their last 15; Smorgon score 1.7 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bumprom | 2.1 | 1.3 | 5 | 8/15 | 8/15 |
| Smorgon | 1.7 | 1.6 | 5 | 6/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Bumprom sit 7th in 1. Division (34 points from 21 matches) and Smorgon sit 14th (23 points from 21 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Bumprom | 12 | 7 | 2 | 3 | 27 | 15 | 23 |
| 7 | Bumprom | 21 | 10 | 4 | 7 | 40 | 29 | 34 |
| 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