BATE II vs Torpedo BelAZ II: result 6-2 and analysis
1. DivisionRegular Season - 14Kick-off on July 7, 2024 at 11:00 AM (UTC)
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What was the result of BATE II vs Torpedo BelAZ II?
BATE II won 6-2 on July 7, 2024.
Goalscorers
- 5′M. LadutkoTorpedo BelAZ II
- 10′V. SkavpnevTorpedo BelAZ II
- 35′G. ProtasenyaBATE II
- 58′E. OsipovBATE II
- 67′G. ProtasenyaBATE II
- 74′A. SidorikBATE II (o.g.)
- 89′M. MardasBATE II (pen.)
- 90′V. GolovachenkoBATE II
What is the recent form of both teams?
Over their last 13 matches in all competitions, BATE II have 6 wins, 4 draws and 3 defeats; Torpedo BelAZ II have 3, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 30, 2024 | Belshina(away) | 0-1 | 1. Division |
| Jun 23, 2024 | Bumprom(home) | 1-0 | 1. Division |
| Jun 14, 2024 | ABFF U17(away) | 1-3 | 1. Division |
| Jun 8, 2024 | Slonim(home) | 0-0 | 1. Division |
| Jun 1, 2024 | Orsha(away) | 1-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 30, 2024 | Shakhtyor Petrikov(home) | 1-1 | 1. Division |
| Jun 22, 2024 | Ostrovets FC(away) | 0-3 | 1. Division |
| Jun 14, 2024 | Molodechno-DYuSSh 4(home) | 0-2 | 1. Division |
| Jun 9, 2024 | Baranovichi(away) | 1-2 | 1. Division |
| Jun 3, 2024 | ML Vitebsk(home) | 2-1 | 1. Division |
How many goals should we expect?
BATE II score 1.4 and concede 1.2 goals per match over their last 13; Torpedo BelAZ II score 1.3 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| BATE II | 1.4 | 1.2 | 3 | 9/13 | 6/13 |
| Torpedo BelAZ II | 1.3 | 2.4 | 2 | 9/13 | 8/13 |
Over the last 13 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