Neman vs FC Isloch Minsk R.: result 2-1 and analysis
Premier LeagueRegular Season - 8Kick-off on May 17, 2016 at 05:30 PM (UTC)Stadion Neman, Grodno
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What was the result of Neman vs FC Isloch Minsk R.?
Neman won 2-1 on May 17, 2016.
Goalscorers
- 18′Artem KontsevoyNeman
- 27′Roman VasilyukNeman (pen.)
- 61′V. YasyukevichFC Isloch Minsk R.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Neman have 4 wins, 6 draws and 5 defeats; FC Isloch Minsk R. have 11, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2016 | Bate Borisov(home) | 0-1 | Premier League |
| May 7, 2016 | Belshina(away) | 1-1 | Premier League |
| Apr 29, 2016 | FC Minsk(home) | 0-1 | Premier League |
| Apr 23, 2016 | Dinamo Brest(away) | 0-2 | Premier League |
| Apr 15, 2016 | FC Vitebsk(home) | 0-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2016 | Belshina(home) | 2-3 | Premier League |
| May 8, 2016 | FC Minsk(away) | 1-0 | Premier League |
| Apr 30, 2016 | Dinamo Brest(home) | 2-4 | Premier League |
| Apr 23, 2016 | FC Vitebsk(away) | 2-1 | Premier League |
| Apr 17, 2016 | NFK Minsk(home) | 0-0 | Premier League |
How many goals should we expect?
Neman score 0.8 and concede 0.9 goals per match over their last 15; FC Isloch Minsk R. score 2.1 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Neman | 0.8 | 0.9 | 4 | 7/15 | 4/15 |
| FC Isloch Minsk R. | 2.1 | 0.7 | 10 | 5/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Neman sit 8th in Premier League (27 points from 18 matches) and FC Isloch Minsk R. sit 3rd (34 points from 16 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | FC Isloch Minsk R. | 16 | 10 | 4 | 2 | 30 | 14 | 34 |
| 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