Cherkaskyi Dnipro vs Poltava: result 0-1 and analysis
Persha LigaRegular Season - 25Kick-off on April 14, 2017 at 02:00 PM (UTC)Tsentralnyi miskyi Stadion, Cherkasy
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What was the result of Cherkaskyi Dnipro vs Poltava?
Poltava won 0-1 on April 14, 2017.
Goalscorers
- 68′V. NekhtiiPoltava
What is the recent form of both teams?
Over their last 15 matches in all competitions, Cherkaskyi Dnipro have 4 wins, 6 draws and 5 defeats; Poltava have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 8, 2017 | Arsenal Kyiv(away) | 0-0 | Persha Liga |
| Apr 1, 2017 | Inhulets(home) | 0-2 | Persha Liga |
| Mar 25, 2017 | Hirnyk-Sport(away) | 2-5 | Persha Liga |
| Mar 18, 2017 | Skala Stryi(home) | 2-1 | Persha Liga |
| Nov 19, 2016 | Desna(away) | 1-1 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 9, 2017 | Naftovyk-Ukrnafta(home) | 1-1 | Persha Liga |
| Apr 5, 2017 | Shakhtar Donetsk(home) | 0-3 | Cup |
| Mar 31, 2017 | Mykolaiv(away) | 1-0 | Persha Liga |
| Mar 25, 2017 | FC Mariupol(home) | 0-2 | Persha Liga |
| Mar 18, 2017 | Obolon'-Brovar(away) | 1-0 | Persha Liga |
What does the head-to-head say?
Across the last 3 meetings: 2 Cherkaskyi Dnipro win(s), 0 draw(s), 1 Poltava win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 8, 2016 | Poltava 3-1 Cherkaskyi Dnipro | Persha Liga |
| Jun 1, 2016 | Poltava 0-2 Cherkaskyi Dnipro | Persha Liga |
| Oct 31, 2015 | Cherkaskyi Dnipro 2-1 Poltava | Persha Liga |
Last archived meeting: Poltava vs Cherkaskyi Dnipro on Sep 8, 2016
How many goals should we expect?
Cherkaskyi Dnipro score 0.9 and concede 1.2 goals per match over their last 15; Poltava score 0.9 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cherkaskyi Dnipro | 0.9 | 1.2 | 6 | 7/15 | 5/15 |
| Poltava | 0.9 | 1.2 | 3 | 5/15 | 6/15 |
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