Poltava vs Mykolaiv: result 0-2 and analysis
Persha LigaRegular Season - 6Kick-off on August 26, 2016 at 02:00 PM (UTC)Stadion Lokomotiv, Poltava
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What was the result of Poltava vs Mykolaiv?
Mykolaiv won 0-2 on August 26, 2016.
Goalscorers
- 49′V. BerkoMykolaiv
- 90′Vage SarkisyanMykolaiv (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Poltava have 4 wins, 4 draws and 7 defeats; Mykolaiv have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 19, 2016 | FC Mariupol(away) | 1-3 | Persha Liga |
| Aug 14, 2016 | Obolon'-Brovar(home) | 1-1 | Persha Liga |
| Aug 10, 2016 | Bukovyna(home) | 1-0 | Cup |
| Aug 5, 2016 | Sumy(home) | 0-2 | Persha Liga |
| Jul 30, 2016 | Arsenal Kyiv(away) | 1-0 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 20, 2016 | Arsenal Kyiv(home) | 2-1 | Persha Liga |
| Aug 14, 2016 | Inhulets(away) | 0-1 | Persha Liga |
| Aug 10, 2016 | Inhulets(away) | 2-2 | Cup |
| Aug 5, 2016 | Hirnyk-Sport(home) | 0-1 | Persha Liga |
| Jul 30, 2016 | Skala Stryi(away) | 0-0 | Persha Liga |
What does the head-to-head say?
Across the last 6 meetings: 4 Poltava win(s), 2 draw(s), 0 Mykolaiv win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 26, 2016 | Poltava 1-0 Mykolaiv | Persha Liga |
| Aug 15, 2015 | Mykolaiv 1-1 Poltava | Persha Liga |
| May 23, 2015 | Mykolaiv 2-4 Poltava | Persha Liga |
| Oct 18, 2014 | Poltava 3-3 Mykolaiv | Persha Liga |
| Apr 18, 2014 | Poltava 2-0 Mykolaiv | Persha Liga |
| Sep 7, 2013 | Mykolaiv 1-2 Poltava | Persha Liga |
How many goals should we expect?
Poltava score 0.8 and concede 1.3 goals per match over their last 15; Mykolaiv score 1.0 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Poltava | 0.8 | 1.3 | 5 | 6/15 | 5/15 |
| Mykolaiv | 1.0 | 0.9 | 6 | 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