Mykolaiv vs Cherkaskyi Dnipro: result 0-0 and analysis
Persha LigaRegular Season - 28Kick-off on May 3, 2017 at 03:00 PM (UTC)Tsentralnyi miskyi Stadion, Mykolajiv
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What was the result of Mykolaiv vs Cherkaskyi Dnipro?
Mykolaiv and Cherkaskyi Dnipro drew 0-0 on May 3, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mykolaiv have 4 wins, 2 draws and 9 defeats; Cherkaskyi Dnipro have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 29, 2017 | Naftovyk-Ukrnafta(away) | 0-1 | Persha Liga |
| Apr 26, 2017 | Dynamo Kyiv(home) | 0-4 | Cup |
| Apr 22, 2017 | Sumy(away) | 2-1 | Persha Liga |
| Apr 15, 2017 | FC Mariupol(home) | 1-2 | Persha Liga |
| Apr 7, 2017 | Obolon'-Brovar(away) | 0-2 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 28, 2017 | FC Mariupol(home) | 1-2 | Persha Liga |
| Apr 21, 2017 | Obolon'-Brovar(away) | 1-0 | Persha Liga |
| Apr 14, 2017 | Poltava(home) | 0-1 | Persha Liga |
| Apr 8, 2017 | Arsenal Kyiv(away) | 0-0 | Persha Liga |
| Apr 1, 2017 | Inhulets(home) | 0-2 | Persha Liga |
What does the head-to-head say?
Across the last 3 meetings: 2 Mykolaiv win(s), 1 draw(s), 0 Cherkaskyi Dnipro win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 25, 2016 | Cherkaskyi Dnipro 0-0 Mykolaiv | Persha Liga |
| 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 Sep 25, 2016
How many goals should we expect?
Mykolaiv score 0.6 and concede 1.3 goals per match over their last 15; Cherkaskyi Dnipro score 0.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mykolaiv | 0.6 | 1.3 | 5 | 4/15 | 5/15 |
| Cherkaskyi Dnipro | 0.9 | 1.1 | 6 | 6/15 | 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