Gomel II vs Osipovichy: result 3-2 and analysis
1. DivisionRegular Season - 9Kick-off on May 23, 2025 at 01:00 PM (UTC)
Full time
What was the result of Gomel II vs Osipovichy?
Gomel II won 3-2 on May 23, 2025.
Goalscorers
- 5′R. DavyskibaGomel II
- 45′563124Osipovichy (pen.)
- 50′A. SavitskiyGomel II
- 53′563089Gomel II
- 56′E. ElezarenkoOsipovichy
What is the recent form of both teams?
Over their last 9 matches in all competitions, Gomel II have 0 wins, 3 draws and 6 defeats; Osipovichy have 1, 2 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2025 | Niva(away) | 0-1 | 1. Division |
| May 11, 2025 | BATE II(home) | 1-4 | 1. Division |
| May 2, 2025 | FC Dnepr Mogilev(away) | 0-3 | 1. Division |
| Apr 27, 2025 | Bumprom(home) | 1-1 | 1. Division |
| Apr 17, 2025 | Dinamo Minsk II(away) | 0-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2025 | Baranovichi(home) | 0-4 | 1. Division |
| May 8, 2025 | ABFF U19(away) | 2-3 | 1. Division |
| May 3, 2025 | Uni Minsk(home) | 0-2 | 1. Division |
| Apr 27, 2025 | Orsha(home) | 4-2 | 1. Division |
| Apr 19, 2025 | Niva(away) | 2-2 | 1. Division |
How many goals should we expect?
Gomel II score 0.7 and concede 2.0 goals per match over their last 9; Osipovichy score 1.0 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gomel II | 0.7 | 2.0 | 0 | 4/9 | 5/9 |
| Osipovichy | 1.0 | 2.4 | 0 | 9/15 | 10/15 |
Over the last 9 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 Osipovichy sit 18th (17 points from 21 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Gomel II | 12 | 2 | 4 | 6 | 14 | 18 | 10 |
| 16 | Gomel II | 21 | 5 | 5 | 11 | 28 | 37 | 20 |
| 18 | Osipovichy | 21 | 5 | 2 | 14 | 23 | 51 | 17 |
| 18 | Osipovichy | 11 | 0 | 1 | 10 | 10 | 35 | 1 |
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