Cherkaskyi Dnipro vs Mykolaiv: result 0-0 and analysis
Persha LigaRegular Season - 11Kick-off on September 25, 2016 at 01:00 PM (UTC)Tsentralnyi miskyi Stadion, Cherkasy
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What was the result of Cherkaskyi Dnipro vs Mykolaiv?
Cherkaskyi Dnipro and Mykolaiv drew 0-0 on September 25, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Cherkaskyi Dnipro have 8 wins, 4 draws and 3 defeats; Mykolaiv have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2016 | Stal Kamianske(home) | 1-3 | Cup |
| Sep 18, 2016 | FC Mariupol(away) | 0-2 | Persha Liga |
| Sep 13, 2016 | Obolon'-Brovar(home) | 1-0 | Persha Liga |
| Sep 8, 2016 | Poltava(away) | 1-3 | Persha Liga |
| Sep 3, 2016 | Arsenal Kyiv(home) | 1-0 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2016 | Nyva Vinnytsya(away) | 2-0 | Cup |
| Sep 13, 2016 | Sumy(home) | 4-0 | Persha Liga |
| Sep 8, 2016 | FC Mariupol(away) | 0-2 | Persha Liga |
| Sep 3, 2016 | Obolon'-Brovar(home) | 1-0 | Persha Liga |
| Aug 26, 2016 | Poltava(away) | 2-0 | Persha Liga |
What does the head-to-head say?
Across the last 2 meetings: 0 Cherkaskyi Dnipro win(s), 0 draw(s), 2 Mykolaiv win(s).
| Date | Score | Competition |
|---|---|---|
| May 15, 2016 | Cherkaskyi Dnipro 0-2 Mykolaiv | Persha Liga |
| Oct 10, 2015 | Mykolaiv 1-0 Cherkaskyi Dnipro | Persha Liga |
Last archived meeting: Cherkaskyi Dnipro vs Mykolaiv on May 15, 2016
How many goals should we expect?
Cherkaskyi Dnipro score 1.1 and concede 0.8 goals per match over their last 15; Mykolaiv score 1.5 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cherkaskyi Dnipro | 1.1 | 0.8 | 9 | 5/15 | 4/15 |
| Mykolaiv | 1.5 | 0.7 | 7 | 4/15 | 5/15 |
Over the last 15 matches in all competitions.
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