Niva vs Smorgon: result 3-0 and analysis
1. DivisionRegular Season - 8Kick-off on May 23, 2026 at 01:00 PM (UTC)
Full time
What was the result of Niva vs Smorgon?
Niva won 3-0 on May 23, 2026.
Goalscorers
- 41′K. ElaginNiva (o.g.)
- 57′D. FedortsovNiva
- 87′A. VoronovichNiva
What is the recent form of both teams?
Over their last 15 matches in all competitions, Niva have 5 wins, 5 draws and 5 defeats; Smorgon 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 |
|---|---|---|---|
| May 17, 2026 | Bumprom(away) | 1-0 | 1. Division |
| May 10, 2026 | Minsk II(home) | 3-1 | 1. Division |
| May 2, 2026 | Osipovichy(away) | 4-2 | 1. Division |
| Apr 26, 2026 | Lida(home) | 1-2 | 1. Division |
| Apr 19, 2026 | Shakhter Soligorsk(home) | 2-2 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 16, 2026 | FC Energetik-Bgu Minsk(home) | 0-1 | 1. Division |
| May 10, 2026 | FC Slutsk(away) | 1-1 | 1. Division |
| May 2, 2026 | Dinamo Minsk II(home) | 1-3 | 1. Division |
| Apr 24, 2026 | Ostrovets FC(away) | 0-0 | 1. Division |
| Apr 18, 2026 | Slonim(home) | 0-2 | 1. Division |
How many goals should we expect?
Niva score 1.5 and concede 1.8 goals per match over their last 15; Smorgon score 0.8 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Niva | 1.5 | 1.8 | 2 | 12/15 | 10/15 |
| Smorgon | 0.8 | 1.4 | 5 | 6/15 | 5/15 |
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 Smorgon sit 14th (23 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 |
| 14 | Smorgon | 21 | 6 | 5 | 10 | 24 | 30 | 23 |
| 16 | Smorgon | 12 | 2 | 4 | 6 | 14 | 20 | 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