Molodechno-DYuSSh 4 vs BATE II: result 3-1 and analysis
1. DivisionRegular Season - 2Kick-off on April 14, 2024 at 01:00 PM (UTC)Stadyen Škol'nyj, Chist'
Full time
What was the result of Molodechno-DYuSSh 4 vs BATE II?
Molodechno-DYuSSh 4 won 3-1 on April 14, 2024.
Goalscorers
- 6′I. MonichMolodechno-DYuSSh 4
- 8′I. MonichMolodechno-DYuSSh 4
- 58′K. GoncharikMolodechno-DYuSSh 4
- 90′Z. GitselevBATE II (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Molodechno-DYuSSh 4 have 3 wins, 5 draws and 7 defeats; BATE II have 1, 0 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 7, 2024 | Shakhtyor Petrikov(away) | 2-0 | 1. Division |
| Mar 22, 2024 | Smorgon(away) | 0-0 | Friendlies Clubs |
| Feb 28, 2024 | Smorgon(away) | 1-1 | Friendlies Clubs |
| Feb 17, 2024 | FC Minsk(away) | 3-3 | Friendlies Clubs |
| Feb 3, 2024 | Dinamo Minsk(away) | 0-5 | Friendlies Clubs |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 7, 2024 | Baranovichi(home) | 2-1 | 1. Division |
How many goals should we expect?
Molodechno-DYuSSh 4 score 1.2 and concede 2.1 goals per match over their last 15; BATE II score 2.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Molodechno-DYuSSh 4 | 1.2 | 2.1 | 4 | 7/15 | 10/15 |
| BATE II | 2.0 | 1.0 | 0 | 1/1 | 1/1 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Molodechno-DYuSSh 4 sit 6th in 1. Division (35 points from 21 matches) and BATE II sit 17th (17 points from 21 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Molodechno-DYuSSh 4 | 21 | 11 | 2 | 8 | 37 | 34 | 35 |
| 10 | Molodechno-DYuSSh 4 | 11 | 5 | 1 | 5 | 14 | 19 | 16 |
| 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