Mykolaiv vs Desna: result 0-2 and analysis
Persha LigaRegular Season - 1Kick-off on July 24, 2016 at 03:00 PM (UTC)Tsentralnyi miskyi Stadion, Mykolajiv
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What was the result of Mykolaiv vs Desna?
Desna won 0-2 on July 24, 2016.
Goalscorers
- 2′O. FilippovDesna
- 41′E. KartushovDesna
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mykolaiv have 6 wins, 5 draws and 4 defeats; Desna 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 |
|---|---|---|---|
| Jun 1, 2016 | Desna(home) | 3-1 | Persha Liga |
| May 27, 2016 | Ternopil'(away) | 1-0 | Persha Liga |
| May 20, 2016 | Sumy(home) | 3-1 | Persha Liga |
| May 15, 2016 | Cherkaskyi Dnipro(away) | 2-0 | Persha Liga |
| May 11, 2016 | Hirnyk-Sport(home) | 2-0 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 1, 2016 | Mykolaiv(away) | 1-3 | Persha Liga |
| May 27, 2016 | Kramatorsk(home) | 3-1 | Persha Liga |
| May 21, 2016 | Ternopil'(home) | 1-1 | Persha Liga |
| May 15, 2016 | Sumy(away) | 4-0 | Persha Liga |
| May 11, 2016 | Cherkaskyi Dnipro(home) | 3-1 | Persha Liga |
What does the head-to-head say?
Across the last 6 meetings: 3 Mykolaiv win(s), 0 draw(s), 3 Desna win(s).
| Date | Score | Competition |
|---|---|---|
| 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 |
| Oct 12, 2013 | Desna 1-0 Mykolaiv | Persha Liga |
How many goals should we expect?
Mykolaiv score 0.9 and concede 0.7 goals per match over their last 15; Desna score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mykolaiv | 0.9 | 0.7 | 9 | 2/15 | 3/15 |
| Desna | 1.1 | 1.1 | 5 | 7/15 | 7/15 |
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