Smorgon vs Gomel II: result 2-0 and analysis
1. DivisionRegular Season - 16Kick-off on July 25, 2026 at 11:00 AM (UTC)Stadyen Junatstva, Smorgon
Full time
What was the result of Smorgon vs Gomel II?
Smorgon won 2-0 on July 25, 2026.
Goalscorers
- 48′M. YablonskiySmorgon
- 87′J. NsangouSmorgon
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; Gomel II have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 18, 2026 | FC Minsk(home) | 3-4 | Coppa |
| Jul 11, 2026 | Orsha(away) | 1-1 | 1. Division |
| Jul 4, 2026 | Volna(home) | 1-3 | 1. Division |
| Jun 27, 2026 | Shakhter Soligorsk(home) | 2-0 | 1. Division |
| Jun 20, 2026 | Bumprom(away) | 1-2 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 11, 2026 | Bumprom(home) | 1-1 | 1. Division |
| Jul 4, 2026 | Minsk II(away) | 3-0 | 1. Division |
| Jun 27, 2026 | Osipovichy(home) | 5-2 | 1. Division |
| Jun 19, 2026 | Lida(away) | 1-2 | 1. Division |
| Jun 14, 2026 | Niva(home) | 1-2 | 1. Division |
How many goals should we expect?
Smorgon score 1.8 and concede 1.6 goals per match over their last 15; Gomel II score 1.5 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Smorgon | 1.8 | 1.6 | 5 | 7/15 | 8/15 |
| Gomel II | 1.5 | 1.4 | 5 | 9/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Smorgon sit 9th in 1. Division (36 points from 28 matches) and Gomel II sit 17th (21 points from 28 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Smorgon | 28 | 10 | 6 | 12 | 35 | 36 | 36 |
| 17 | Gomel II | 28 | 5 | 6 | 17 | 38 | 60 | 21 |
A question about Smorgon vs Gomel II?
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy