Gomel II vs BATE II: result 1-4 and analysis
1. DivisionRegular Season - 7Kick-off on May 11, 2025 at 02:00 PM (UTC)
Full time
What was the result of Gomel II vs BATE II?
BATE II won 1-4 on May 11, 2025.
Goalscorers
- 50′P. KolosovskiyBATE II
- 52′N. MirskiyBATE II
- 65′K. LipnitskiyBATE II (o.g.)
- 82′563089Gomel II
- 86′V. KiselevBATE II (pen.)
What is the recent form of both teams?
Over their last 7 matches in all competitions, Gomel II have 0 wins, 3 draws and 4 defeats; BATE II have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Apr 13, 2025 | Belshina(home) | 2-2 | 1. Division |
| Apr 5, 2025 | Slonim(away) | 0-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 3, 2025 | Baranovichi(home) | 1-1 | 1. Division |
| Apr 27, 2025 | ABFF U19(away) | 0-1 | 1. Division |
| Apr 18, 2025 | Uni Minsk(home) | 5-1 | 1. Division |
| Apr 13, 2025 | Osipovichy(home) | 3-1 | 1. Division |
| Apr 6, 2025 | Niva(home) | 1-1 | 1. Division |
How many goals should we expect?
Gomel II score 0.7 and concede 1.9 goals per match over their last 7; BATE II score 2.1 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gomel II | 0.7 | 1.9 | 0 | 3/7 | 4/7 |
| BATE II | 2.1 | 1.9 | 2 | 10/15 | 11/15 |
Over the last 7 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 BATE II sit 17th (17 points from 21 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | BATE II | 11 | 2 | 5 | 4 | 16 | 22 | 11 |
| 15 | Gomel II | 12 | 2 | 4 | 6 | 14 | 18 | 10 |
| 16 | Gomel II | 21 | 5 | 5 | 11 | 28 | 37 | 20 |
| 17 | BATE II | 21 | 4 | 5 | 12 | 29 | 49 | 17 |
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