Chornomorets II vs Nikopol: result 1-4 and analysis
Druha Liga - Group BGroup B - 6Kick-off on August 30, 2019 at 02:00 PM (UTC)SK Lyustdorf, Odesa
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What was the result of Chornomorets II vs Nikopol?
Nikopol won 1-4 on August 30, 2019.
Goalscorers
- 37′Serhii MandrovskyiNikopol
- 39′Maksym BohdanovNikopol (pen.)
- 45′Serhii MandrovskyiNikopol
- 52′Serhii MandrovskyiNikopol
- 83′172556Chornomorets II
What is the recent form of both teams?
Over their last 15 matches in all competitions, Chornomorets II have 0 wins, 10 draws and 5 defeats; Nikopol have 1, 4 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 24, 2019 | Enerhiya Nova Kakhovka(away) | 0-4 | Druha Liga - Group B |
| Aug 10, 2019 | Krystal(away) | 0-2 | Druha Liga - Group B |
| Aug 4, 2019 | Mykolaiv II(home) | 0-2 | Druha Liga - Group B |
| Jul 27, 2019 | Kryvbas KR(away) | 1-4 | Druha Liga - Group B |
| May 25, 2012 | UkrAhroKom(away) | 0-0 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 24, 2019 | Avanhard II(home) | 1-1 | Druha Liga - Group B |
| Aug 20, 2019 | Nyva Vinnytsya(away) | 1-5 | Cup |
| Aug 16, 2019 | Tavriya(away) | 0-1 | Druha Liga - Group B |
| Aug 11, 2019 | Alians Lypova Dolyna(home) | 1-1 | Druha Liga - Group B |
| Aug 3, 2019 | VPK-Ahro Shevchenkivka(away) | 0-3 | Druha Liga - Group B |
How many goals should we expect?
Chornomorets II score 0.2 and concede 1.0 goals per match over their last 15; Nikopol score 0.7 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Chornomorets II | 0.2 | 1.0 | 10 | 2/15 | 3/15 |
| Nikopol | 0.7 | 2.3 | 1 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Nikopol | 20 | 5 | 5 | 10 | 22 | 42 | 20 |
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