BATE II vs ABFF U17: result 3-0 and analysis
1. DivisionRegular Season - 28Kick-off on October 10, 2024 at 02:30 PM (UTC)
Full time
What was the result of BATE II vs ABFF U17?
BATE II won 3-0 on October 10, 2024.
Goalscorers
- 22′V. KiselevBATE II
- 32′N. MatysyukBATE II (o.g.)
- 35′V. KiselevBATE II
What is the recent form of both teams?
Over their last 15 matches in all competitions, BATE II have 5 wins, 3 draws and 7 defeats; ABFF U17 have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2024 | Slonim(away) | 1-1 | 1. Division |
| Sep 28, 2024 | Orsha(home) | 4-0 | 1. Division |
| Sep 20, 2024 | Lida(away) | 0-2 | 1. Division |
| Sep 11, 2024 | Dinamo Minsk II(home) | 0-5 | 1. Division |
| Sep 6, 2024 | Lokomotiv Gomel(away) | 2-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2024 | Shakhtyor Petrikov(home) | 0-1 | 1. Division |
| Sep 28, 2024 | Ostrovets FC(away) | 2-1 | 1. Division |
| Sep 21, 2024 | Molodechno-DYuSSh 4(home) | 0-1 | 1. Division |
| Sep 13, 2024 | Baranovichi(away) | 2-2 | 1. Division |
| Aug 30, 2024 | Niva(away) | 0-1 | 1. Division |
What does the head-to-head say?
Across the last 1 meetings: 0 BATE II win(s), 0 draw(s), 1 ABFF U17 win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 14, 2024 | ABFF U17 3-1 BATE II | 1. Division |
How many goals should we expect?
BATE II score 1.2 and concede 1.3 goals per match over their last 15; ABFF U17 score 1.0 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| BATE II | 1.2 | 1.3 | 4 | 6/15 | 6/15 |
| ABFF U17 | 1.0 | 1.3 | 2 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 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