FC Slutsk vs BATE II: result 2-0 and analysis
1. DivisionRegular Season - 12Kick-off on June 21, 2026 at 12:00 PM (UTC)Stadyen Haradski, Slutsk
Full time
What was the result of FC Slutsk vs BATE II?
FC Slutsk won 2-0 on June 21, 2026.
Goalscorers
- 42′A. ChudukFC Slutsk
- 45′V. SychevFC Slutsk (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, FC Slutsk have 11 wins, 2 draws and 2 defeats; BATE II have 3, 7 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 17, 2026 | Dinamo Minsk(home) | 0-2 | Coppa |
| Jun 13, 2026 | Uni Minsk(away) | 1-0 | 1. Division |
| Jun 7, 2026 | Molodechno-DYuSSh 4(home) | 2-1 | 1. Division |
| May 31, 2026 | Gomel II(away) | 3-1 | 1. Division |
| May 23, 2026 | Orsha(home) | 3-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 14, 2026 | Dinamo Minsk II(home) | 3-2 | 1. Division |
| Jun 6, 2026 | Ostrovets FC(away) | 0-0 | 1. Division |
| Jun 1, 2026 | Slonim(home) | 2-5 | 1. Division |
| May 22, 2026 | Shakhter Soligorsk(away) | 1-1 | 1. Division |
| May 17, 2026 | Uni Minsk(away) | 1-1 | 1. Division |
How many goals should we expect?
FC Slutsk score 2.1 and concede 1.1 goals per match over their last 15; BATE II score 1.3 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FC Slutsk | 2.1 | 1.1 | 2 | 12/15 | 10/15 |
| BATE II | 1.3 | 1.9 | 2 | 11/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
FC Slutsk sit 2nd in 1. Division (41 points from 21 matches) and BATE II sit 17th (17 points from 21 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | FC Slutsk | 11 | 9 | 1 | 1 | 26 | 13 | 28 |
| 2 | FC Slutsk | 21 | 12 | 5 | 4 | 39 | 22 | 41 |
| 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