Desna vs Mykolaiv: result 3-1 and analysis
Persha LigaRegular Season - 18Kick-off on November 9, 2016 at 12:00 PM (UTC)Obolon Arena, Kyiv
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What was the result of Desna vs Mykolaiv?
Desna won 3-1 on November 9, 2016.
Goalscorers
- 10′M. BanasevychDesna
- 71′V. RogozinskyiMykolaiv
- 87′O. FilippovDesna
- 89′D. FavorovDesna (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Desna have 10 wins, 3 draws and 2 defeats; Mykolaiv have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 5, 2016 | FC Mariupol(home) | 3-1 | Persha Liga |
| Oct 30, 2016 | Obolon'-Brovar(away) | 2-1 | Persha Liga |
| Oct 26, 2016 | Dnipro Dnipropetrovsk(home) | 0-0 | Cup |
| Oct 22, 2016 | Poltava(home) | 0-1 | Persha Liga |
| Oct 15, 2016 | Arsenal Kyiv(away) | 2-1 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 5, 2016 | Kramatorsk(away) | 0-2 | Persha Liga |
| Oct 30, 2016 | Kolos Kovalivka(home) | 1-0 | Persha Liga |
| Oct 26, 2016 | Obolon'-Brovar(home) | 0-0 | Cup |
| Oct 22, 2016 | Ternopil'(away) | 1-2 | Persha Liga |
| Oct 16, 2016 | Veres Rivne(home) | 1-2 | Persha Liga |
What does the head-to-head say?
Across the last 6 meetings: 3 Desna win(s), 0 draw(s), 3 Mykolaiv win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 24, 2016 | Mykolaiv 0-2 Desna | Persha Liga |
| Jun 1, 2016 | Mykolaiv 3-1 Desna | Persha Liga |
| Nov 1, 2015 | Desna 0-1 Mykolaiv | Persha Liga |
| Apr 4, 2015 | Desna 4-1 Mykolaiv | Persha Liga |
| Aug 27, 2014 | Mykolaiv 3-2 Desna | Persha Liga |
| May 22, 2014 | Mykolaiv 0-1 Desna | Persha Liga |
How many goals should we expect?
Desna score 1.5 and concede 0.7 goals per match over their last 15; Mykolaiv score 0.9 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Desna | 1.5 | 0.7 | 9 | 4/15 | 6/15 |
| Mykolaiv | 0.9 | 0.9 | 8 | 3/15 | 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