Minsk II vs Niva: result 2-3 and analysis
1. DivisionRegular Season - 11Kick-off on June 7, 2025 at 01:00 PM (UTC)Stadyen Tarpeda, Minsk
Full time
What was the result of Minsk II vs Niva?
Niva won 2-3 on June 7, 2025.
Goalscorers
- 41′D. FedortsovNiva
- 53′D. MulkevichNiva
- 60′P. PampukhaNiva
- 72′V. GrekovichMinsk II
- 80′I. VolchokMinsk II
What is the recent form of both teams?
Over their last 15 matches in all competitions, Minsk II have 3 wins, 1 draws and 11 defeats; Niva have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 2, 2025 | BATE II(away) | 2-3 | 1. Division |
| May 23, 2025 | FC Dnepr Mogilev(home) | 0-3 | 1. Division |
| May 18, 2025 | Bumprom(away) | 1-0 | 1. Division |
| May 8, 2025 | Dinamo Minsk II(home) | 0-1 | 1. Division |
| May 3, 2025 | Belshina(away) | 2-4 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 1, 2025 | Ostrovets FC(home) | 2-1 | 1. Division |
| May 26, 2025 | Volna(away) | 5-0 | 1. Division |
| May 21, 2025 | Miory(away) | 4-0 | Coppa |
| May 18, 2025 | Gomel II(home) | 1-0 | 1. Division |
| May 10, 2025 | Baranovichi(away) | 1-3 | 1. Division |
How many goals should we expect?
Minsk II score 1.1 and concede 1.9 goals per match over their last 15; Niva score 1.7 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Minsk II | 1.1 | 1.9 | 1 | 7/15 | 8/15 |
| Niva | 1.7 | 1.7 | 4 | 7/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Minsk II sit 10th in 1. Division (29 points from 21 matches) and Niva sit 1st (42 points from 21 matches).
| # | 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 |
| 10 | Minsk II | 21 | 9 | 2 | 10 | 29 | 36 | 29 |
| 17 | Minsk II | 12 | 3 | 1 | 8 | 11 | 26 | 10 |
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