ABFF U17 vs Slonim: result 1-0 and analysis
1. DivisionRegular Season - 33Kick-off on November 16, 2024 at 12:00 PM (UTC)
Full time
What was the result of ABFF U17 vs Slonim?
ABFF U17 won 1-0 on November 16, 2024.
Goalscorers
- 59′S. KazmerchukABFF U17
What is the recent form of both teams?
Over their last 15 matches in all competitions, ABFF U17 have 2 wins, 5 draws and 8 defeats; Slonim have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 8, 2024 | Orsha(away) | 0-2 | 1. Division |
| Nov 1, 2024 | Lida(home) | 1-1 | 1. Division |
| Oct 24, 2024 | ML Vitebsk(home) | 0-2 | 1. Division |
| Oct 20, 2024 | Lokomotiv Gomel(home) | 1-1 | 1. Division |
| Oct 10, 2024 | BATE II(away) | 0-3 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 10, 2024 | FC Energetik-Bgu Minsk(away) | 0-6 | 1. Division |
| Nov 5, 2024 | Dinamo Minsk II(home) | 1-0 | 1. Division |
| Nov 1, 2024 | Orsha(home) | 2-0 | 1. Division |
| Oct 26, 2024 | Lida(away) | 0-4 | 1. Division |
| Oct 12, 2024 | Lokomotiv Gomel(away) | 0-1 | 1. Division |
What does the head-to-head say?
Across the last 1 meetings: 0 ABFF U17 win(s), 1 draw(s), 0 Slonim win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 27, 2024 | Slonim 1-1 ABFF U17 | 1. Division |
How many goals should we expect?
ABFF U17 score 0.7 and concede 1.3 goals per match over their last 15; Slonim score 0.6 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| ABFF U17 | 0.7 | 1.3 | 2 | 5/15 | 5/15 |
| Slonim | 0.6 | 2.3 | 4 | 4/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Slonim | 12 | 7 | 2 | 3 | 21 | 10 | 23 |
| 5 | Slonim | 21 | 11 | 3 | 7 | 39 | 26 | 36 |
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