Desna vs Mykolaiv: result 4-1 and analysis
Persha LigaRegular Season - 20Kick-off on April 4, 2015 at 01:00 PM (UTC)Olimpiysʹkyy Navchalʹno-Sportyvnyy Tsentr Chernihiv, Chernihiv
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What was the result of Desna vs Mykolaiv?
Desna won 4-1 on April 4, 2015.
Goalscorers
- 2′Petr KondratyukDesna
- 17′E. KartushovDesna
- 37′V. BerkoMykolaiv
- 50′Petr KondratyukDesna (pen.)
- 90′D. SkepskyiDesna
What is the recent form of both teams?
Over their last 15 matches in all competitions, Desna have 6 wins, 5 draws and 4 defeats; Mykolaiv have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 29, 2015 | Nyva Ternopil(away) | 2-0 | Persha Liga |
| Mar 21, 2015 | Kryvbas KR(home) | 0-0 | Persha Liga |
| Nov 15, 2014 | Sumy(away) | 1-1 | Persha Liga |
| Nov 8, 2014 | Oleksandria(home) | 3-1 | Persha Liga |
| Nov 1, 2014 | Kobra(home) | 1-1 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 28, 2015 | Stal Kamianske(home) | 1-2 | Persha Liga |
| Mar 20, 2015 | Ternopil'(away) | 2-4 | Persha Liga |
| Nov 15, 2014 | Bukovyna(home) | 0-4 | Persha Liga |
| Nov 9, 2014 | Dynamo Kyiv II(away) | 1-3 | Persha Liga |
| Nov 2, 2014 | Zirka(away) | 1-0 | Persha Liga |
What does the head-to-head say?
Across the last 3 meetings: 2 Desna win(s), 0 draw(s), 1 Mykolaiv win(s).
| Date | Score | Competition |
|---|---|---|
| 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?
Desna score 1.3 and concede 0.7 goals per match over their last 15; Mykolaiv score 1.3 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Desna | 1.3 | 0.7 | 7 | 5/15 | 4/15 |
| Mykolaiv | 1.3 | 2.4 | 2 | 10/15 | 12/15 |
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