Torpedo BelAZ II vs ABFF U17: result 0-3 and analysis
1. DivisionRegular Season - 20Kick-off on August 16, 2024 at 02:00 PM (UTC)Stadyen Tarpeda, Minsk
Full time
What was the result of Torpedo BelAZ II vs ABFF U17?
ABFF U17 won 0-3 on August 16, 2024.
Goalscorers
- 65′V. SkomarovskiyABFF U17
- 82′G. MikhaylovABFF U17 (o.g.)
- 90′V. SkomarovskiyABFF U17
What is the recent form of both teams?
Over their last 15 matches in all competitions, Torpedo BelAZ II have 4 wins, 2 draws and 9 defeats; ABFF U17 have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 10, 2024 | Slonim(away) | 1-0 | 1. Division |
| Aug 5, 2024 | Orsha(away) | 2-0 | 1. Division |
| Jul 31, 2024 | Lida(home) | 0-1 | 1. Division |
| Jul 26, 2024 | Dinamo Minsk II(away) | 0-3 | 1. Division |
| Jul 19, 2024 | Lokomotiv Gomel(home) | 1-3 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 10, 2024 | Belshina(home) | 0-0 | 1. Division |
| Aug 4, 2024 | Bumprom(away) | 2-2 | 1. Division |
| Jul 31, 2024 | FC Energetik-Bgu Minsk(home) | 0-1 | 1. Division |
| Jul 27, 2024 | Slonim(away) | 1-1 | 1. Division |
| Jul 19, 2024 | Orsha(home) | 1-2 | 1. Division |
What does the head-to-head say?
Across the last 1 meetings: 1 Torpedo BelAZ II win(s), 0 draw(s), 0 ABFF U17 win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 19, 2024 | ABFF U17 0-4 Torpedo BelAZ II | 1. Division |
Last archived meeting: ABFF U17 vs Torpedo BelAZ II on Apr 19, 2024
How many goals should we expect?
Torpedo BelAZ II score 1.0 and concede 2.1 goals per match over their last 15; ABFF U17 score 1.1 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Torpedo BelAZ II | 1.0 | 2.1 | 3 | 8/15 | 8/15 |
| ABFF U17 | 1.1 | 1.7 | 2 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
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