Match

Mykolaiv vs Desna: result 2-4 and analysis

Cup8th FinalsKick-off on October 30, 2019 at 12:00 PM (UTC)Tsentralnyi miskyi Stadion, Mykolajiv

Mykolaiv
2-4
Desna

Full time

What was the result of Mykolaiv vs Desna?

Desna won 2-4 on October 30, 2019.

Goalscorers

  • 18′I. SondeyMykolaiv
  • 20′E. KartushovDesna
  • 32′O. FilippovDesna
  • 61′V. VoytsekhovskyiMykolaiv
  • 64′O. FilippovDesna
  • 90′E. KartushovDesna

What is the recent form of both teams?

Over their last 15 matches in all competitions, Mykolaiv have 5 wins, 4 draws and 6 defeats; Desna have 8, 2 and 5.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Mykolaiv
DateOpponentScoreCompetition
Oct 26, 2019Cherkashchyna-Akademiya(home)3-0Persha Liga
Oct 20, 2019Metalurh Zaporizhya(away)1-1Persha Liga
Oct 12, 2019Ahrobiznes Volochysk(home)0-2Persha Liga
Oct 5, 2019Metalist 1925 Kharkiv(away)0-0Persha Liga
Sep 29, 2019Balkany Zorya(home)1-2Persha Liga
Desna
DateOpponentScoreCompetition
Oct 27, 2019Lviv(away)4-1Premier League
Oct 19, 2019Zorya Luhansk(away)1-2Premier League
Oct 5, 2019Olimpik Donetsk(home)1-0Premier League
Sep 29, 2019FC Mariupol(away)4-0Premier League
Sep 22, 2019Shakhtar Donetsk(home)0-1Premier League

What does the head-to-head say?

Across the last 6 meetings: 2 Mykolaiv win(s), 0 draw(s), 4 Desna win(s).

DateScoreCompetition
May 6, 2018Desna 3-0 MykolaivPersha Liga
Oct 7, 2017Mykolaiv 1-8 DesnaPersha Liga
Nov 9, 2016Desna 3-1 MykolaivPersha Liga
Jul 24, 2016Mykolaiv 0-2 DesnaPersha Liga
Jun 1, 2016Mykolaiv 3-1 DesnaPersha Liga
Nov 1, 2015Desna 0-1 MykolaivPersha Liga

Last archived meeting: Desna vs Mykolaiv on May 6, 2018

How many goals should we expect?

Mykolaiv score 1.7 and concede 1.5 goals per match over their last 15; Desna score 1.3 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Mykolaiv1.71.549/158/15
Desna1.30.784/157/15

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

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