FC Energetik-Bgu Minsk vs Neman: result 2-4 and analysis
Premier LeagueRegular Season - 14Kick-off on July 6, 2019 at 02:00 PM (UTC)Stadyen RTsOP-BGU, Minsk
Full time
What was the result of FC Energetik-Bgu Minsk vs Neman?
Neman won 2-4 on July 6, 2019.
Goalscorers
- 10′G. RassadkinNeman
- 14′M. YablonskiyNeman
- 29′G. RassadkinNeman
- 45′A. LegchilinNeman
- 52′A. SvirepaFC Energetik-Bgu Minsk
- 74′V. SadovskiyFC Energetik-Bgu Minsk
What is the recent form of both teams?
Over their last 15 matches in all competitions, FC Energetik-Bgu Minsk have 4 wins, 5 draws and 6 defeats; Neman have 6, 1 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 28, 2019 | Torpedo Zhodino(away) | 3-3 | Premier League |
| Jun 21, 2019 | Torpedo Minsk(home) | 2-1 | Premier League |
| Jun 16, 2019 | Dinamo Minsk(away) | 1-6 | Premier League |
| Jun 1, 2019 | Gorodeya(home) | 0-0 | Premier League |
| May 22, 2019 | FC Vitebsk(away) | 0-3 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 28, 2019 | Torpedo Minsk(away) | 3-0 | Premier League |
| Jun 21, 2019 | Gorodeya(home) | 1-3 | Premier League |
| Jun 14, 2019 | FC Minsk(away) | 1-2 | Premier League |
| Jun 2, 2019 | Slavia Mozyr(home) | 0-1 | Premier League |
| May 25, 2019 | Dinamo Brest(away) | 1-6 | Premier League |
How many goals should we expect?
FC Energetik-Bgu Minsk score 1.7 and concede 2.1 goals per match over their last 15; Neman score 1.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FC Energetik-Bgu Minsk | 1.7 | 2.1 | 3 | 9/15 | 12/15 |
| Neman | 1.1 | 1.5 | 5 | 5/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Neman | 18 | 8 | 3 | 7 | 20 | 17 | 27 |
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