Niva vs Bumprom: result 0-4 and analysis
1. DivisionRegular Season - 1Kick-off on April 1, 2023 at 01:30 PM (UTC)
Full time
What was the result of Niva vs Bumprom?
Bumprom won 0-4 on April 1, 2023.
Goalscorers
- 33′Maksim SanetsBumprom
- 38′D. KhalimonchikovBumprom
- 77′D. KhalimonchikovBumprom
- 87′Maksim SanetsBumprom
What is the recent form of both teams?
Over their last 15 matches in all competitions, Niva have 12 wins, 1 draws and 2 defeats; Bumprom have 10, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 13, 2022 | NFK Minsk(away) | 5-2 | 2. Division |
| Nov 5, 2022 | Partizan Salihorsk(away) | 1-0 | 2. Division |
| Oct 30, 2022 | Partizan Salihorsk(home) | 0-0 | 2. Division |
| Oct 22, 2022 | Neman Belkard(home) | 14-0 | 2. Division |
| Oct 15, 2022 | Neman Belkard(away) | 9-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 11, 2023 | FC Gomel(away) | 0-1 | Friendlies Clubs |
| Feb 25, 2023 | Belshina(away) | 0-1 | Friendlies Clubs |
| Oct 8, 2022 | NFK Minsk(home) | 0-0 | 2. Division |
| Oct 2, 2022 | NFK Minsk(away) | 0-1 | 2. Division |
| Sep 17, 2022 | Zhlobin(away) | 9-2 | 2. Division |
How many goals should we expect?
Niva score 5.3 and concede 0.8 goals per match over their last 15; Bumprom score 7.8 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Niva | 5.3 | 0.8 | 9 | 6/15 | 12/15 |
| Bumprom | 7.8 | 0.8 | 7 | 4/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Niva sit 1st in 1. Division (42 points from 21 matches) and Bumprom sit 7th (34 points from 21 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Niva | 21 | 13 | 3 | 5 | 51 | 26 | 42 |
| 3 | Bumprom | 12 | 7 | 2 | 3 | 27 | 15 | 23 |
| 7 | Bumprom | 21 | 10 | 4 | 7 | 40 | 29 | 34 |
| 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