Molodechno-DYuSSh 4 vs ABFF U17: result 3-2 and analysis
1. DivisionRegular Season - 8Kick-off on May 24, 2024 at 02:00 PM (UTC)Stadyen Haradski, Molodechno
Full time
What was the result of Molodechno-DYuSSh 4 vs ABFF U17?
Molodechno-DYuSSh 4 won 3-2 on May 24, 2024.
Goalscorers
- 26′M. AleksandrovABFF U17
- 38′D. OvsyannikovMolodechno-DYuSSh 4 (o.g.)
- 51′M. AleksandrovABFF U17
- 76′K. GoncharikMolodechno-DYuSSh 4
- 84′I. MonichMolodechno-DYuSSh 4
What is the recent form of both teams?
Over their last 15 matches in all competitions, Molodechno-DYuSSh 4 have 6 wins, 4 draws and 5 defeats; ABFF U17 have 2, 0 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2024 | Slonim(away) | 3-2 | 1. Division |
| May 10, 2024 | Orsha(home) | 2-0 | 1. Division |
| May 3, 2024 | Lida(away) | 1-0 | 1. Division |
| Apr 28, 2024 | Dinamo Minsk II(home) | 2-1 | 1. Division |
| Apr 21, 2024 | Lokomotiv Gomel(away) | 1-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2024 | Baranovichi(home) | 2-0 | 1. Division |
| May 12, 2024 | ML Vitebsk(away) | 0-3 | 1. Division |
| May 4, 2024 | Niva(home) | 1-2 | 1. Division |
| Apr 26, 2024 | Volna(away) | 0-3 | 1. Division |
| Apr 19, 2024 | Torpedo BelAZ II(home) | 0-4 | 1. Division |
How many goals should we expect?
Molodechno-DYuSSh 4 score 1.3 and concede 1.8 goals per match over their last 15; ABFF U17 score 0.7 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Molodechno-DYuSSh 4 | 1.3 | 1.8 | 4 | 7/15 | 8/15 |
| ABFF U17 | 0.7 | 2.0 | 1 | 2/7 | 5/7 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | 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 |
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