Gomel II vs Minsk II: result 0-1 and analysis
1. DivisionRegular Season - 16Kick-off on July 19, 2025 at 01:00 PM (UTC)
Full time
What was the result of Gomel II vs Minsk II?
Minsk II won 0-1 on July 19, 2025.
Goalscorers
- 2′D. DenisenkoMinsk II
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gomel II have 3 wins, 4 draws and 8 defeats; Minsk II have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 13, 2025 | ABFF U19(home) | 0-0 | 1. Division |
| Jul 4, 2025 | Ostrovets FC(away) | 2-1 | 1. Division |
| Jun 29, 2025 | Volna(home) | 0-5 | 1. Division |
| Jun 22, 2025 | Orsha(home) | 2-5 | 1. Division |
| Jun 14, 2025 | Baranovichi(away) | 1-4 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 6, 2025 | Baranovichi(home) | 2-1 | 1. Division |
| Jun 28, 2025 | ABFF U19(away) | 2-0 | 1. Division |
| Jun 23, 2025 | Uni Minsk(home) | 1-1 | 1. Division |
| Jun 15, 2025 | Osipovichy(away) | 2-1 | 1. Division |
| Jun 7, 2025 | Niva(home) | 2-3 | 1. Division |
How many goals should we expect?
Gomel II score 1.1 and concede 2.2 goals per match over their last 15; Minsk II score 1.1 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gomel II | 1.1 | 2.2 | 1 | 9/15 | 10/15 |
| Minsk II | 1.1 | 1.9 | 2 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Gomel II sit 16th in 1. Division (20 points from 21 matches) and Minsk II sit 10th (29 points from 21 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Minsk II | 21 | 9 | 2 | 10 | 29 | 36 | 29 |
| 15 | Gomel II | 12 | 2 | 4 | 6 | 14 | 18 | 10 |
| 16 | Gomel II | 21 | 5 | 5 | 11 | 28 | 37 | 20 |
| 17 | Minsk II | 12 | 3 | 1 | 8 | 11 | 26 | 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