Match

Mykolaiv vs Bukovyna: result 3-1 and analysis

Persha LigaRegular Season - 30Kick-off on May 13, 2017 at 03:00 PM (UTC)Tsentralnyi miskyi Stadion, Mykolajiv

Mykolaiv
3-1
Bukovyna

Full time

What was the result of Mykolaiv vs Bukovyna?

Mykolaiv won 3-1 on May 13, 2017.

Goalscorers

  • 29′Serhii AleksanovMykolaiv
  • 65′O. GuskovBukovyna
  • 76′V. BerkoMykolaiv
  • 82′D. SartinaMykolaiv

What is the recent form of both teams?

Over their last 15 matches in all competitions, Mykolaiv have 3 wins, 2 draws and 10 defeats; Bukovyna have 4, 4 and 7.

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

Mykolaiv
DateOpponentScoreCompetition
May 8, 2017Kobra(away)0-2Persha Liga
May 3, 2017Cherkaskyi Dnipro(home)0-0Persha Liga
Apr 29, 2017Naftovyk-Ukrnafta(away)0-1Persha Liga
Apr 26, 2017Dynamo Kyiv(home)0-4Cup
Apr 22, 2017Sumy(away)2-1Persha Liga
Bukovyna
DateOpponentScoreCompetition
May 8, 2017FC Mariupol(home)0-2Persha Liga
May 3, 2017Obolon'-Brovar(away)0-1Persha Liga
Apr 29, 2017Poltava(home)0-2Persha Liga
Apr 22, 2017Arsenal Kyiv(away)1-0Persha Liga
Apr 18, 2017Ternopil'(home)4-0Persha Liga

What does the head-to-head say?

Across the last 6 meetings: 1 Mykolaiv win(s), 1 draw(s), 4 Bukovyna win(s).

DateScoreCompetition
Oct 9, 2016Bukovyna 2-0 MykolaivPersha Liga
Jul 22, 2015Bukovyna 0-0 MykolaivCup
Nov 15, 2014Mykolaiv 0-4 BukovynaPersha Liga
Sep 25, 2014Bukovyna 1-3 MykolaivPersha Liga
May 18, 2014Bukovyna 2-0 MykolaivPersha Liga
Oct 5, 2013Mykolaiv 1-2 BukovynaPersha Liga

Last archived meeting: Bukovyna vs Mykolaiv on Oct 9, 2016

How many goals should we expect?

Mykolaiv score 0.5 and concede 1.5 goals per match over their last 15; Bukovyna score 0.7 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Mykolaiv0.51.544/155/15
Bukovyna0.71.082/153/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
1Bukovyna302631742181

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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Next match: Mykolaiv and Bukovyna

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