BATE II vs Uni Minsk: result 5-1 and analysis
1. DivisionRegular Season - 4Kick-off on April 18, 2025 at 02:30 PM (UTC)
Full time
What was the result of BATE II vs Uni Minsk?
BATE II won 5-1 on April 18, 2025.
Goalscorers
- 6′Egor BabichUni Minsk
- 43′E. RusakovBATE II
- 66′E. RusakovBATE II
- 81′562166BATE II (o.g.)
- 85′V. KiselevBATE II
- 90′554194BATE II
What is the recent form of both teams?
Over their last 15 matches in all competitions, BATE II have 7 wins, 2 draws and 6 defeats; Uni Minsk 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 |
|---|---|---|---|
| Apr 13, 2025 | Osipovichy(home) | 3-1 | 1. Division |
| Apr 6, 2025 | Niva(home) | 1-1 | 1. Division |
| Mar 29, 2025 | Orsha(home) | 7-2 | 1. Division |
| Nov 23, 2024 | ML Vitebsk(home) | 0-6 | 1. Division |
| Nov 17, 2024 | Niva(away) | 1-6 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 12, 2025 | FC Dnepr Mogilev(home) | 3-0 | 1. Division |
| Apr 6, 2025 | Bumprom(away) | 1-1 | 1. Division |
| Mar 29, 2025 | Dinamo Minsk II(away) | 1-3 | 1. Division |
| Feb 15, 2025 | Arsenal(away) | 0-3 | Friendlies Clubs |
| Jun 19, 2024 | Neman(home) | 0-2 | Coppa |
How many goals should we expect?
BATE II score 1.9 and concede 2.2 goals per match over their last 15; Uni Minsk score 1.8 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| BATE II | 1.9 | 2.2 | 2 | 9/15 | 12/15 |
| Uni Minsk | 1.8 | 1.4 | 5 | 7/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
BATE II sit 17th in 1. Division (17 points from 21 matches) and Uni Minsk sit 13th (24 points from 21 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Uni Minsk | 21 | 6 | 6 | 9 | 21 | 27 | 24 |
| 13 | Uni Minsk | 11 | 3 | 2 | 6 | 11 | 17 | 11 |
| 14 | BATE II | 11 | 2 | 5 | 4 | 16 | 22 | 11 |
| 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