Baranovichi vs Niva: result 0-2 and analysis
1. DivisionRegular Season - 27Kick-off on October 8, 2023 at 01:00 PM (UTC)Stadyen Lyakamatyu, Baranovichi
Full time
What was the result of Baranovichi vs Niva?
Niva won 0-2 on October 8, 2023.
Goalscorers
- 41′P. PampukhaNiva
- 72′Dmitri ChizhNiva
What is the recent form of both teams?
Over their last 15 matches in all competitions, Baranovichi have 5 wins, 4 draws and 6 defeats; Niva have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 1, 2023 | Zhodino Yuzhnoe(away) | 2-2 | 1. Division |
| Sep 24, 2023 | FC Vitebsk(home) | 0-4 | 1. Division |
| Sep 16, 2023 | Volna(away) | 0-1 | 1. Division |
| Sep 10, 2023 | Bumprom(home) | 2-1 | 1. Division |
| Sep 3, 2023 | Orsha(away) | 0-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 1, 2023 | Lokomotiv Gomel(home) | 1-1 | 1. Division |
| Sep 24, 2023 | Arsenal(away) | 1-4 | 1. Division |
| Sep 16, 2023 | Lida(home) | 1-2 | 1. Division |
| Sep 10, 2023 | FC Dnepr Mogilev(away) | 1-2 | 1. Division |
| Sep 5, 2023 | Torpedo Zhodino(home) | 1-2 | Coppa |
What does the head-to-head say?
Across the last 1 meetings: 0 Baranovichi win(s), 0 draw(s), 1 Niva win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 3, 2023 | Niva 4-3 Baranovichi | 1. Division |
How many goals should we expect?
Baranovichi score 1.1 and concede 1.6 goals per match over their last 15; Niva score 1.7 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Baranovichi | 1.1 | 1.6 | 3 | 7/15 | 7/15 |
| Niva | 1.7 | 1.9 | 0 | 14/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Niva | 21 | 13 | 3 | 5 | 51 | 26 | 42 |
| 9 | Niva | 11 | 5 | 2 | 4 | 19 | 15 | 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