Match

Mykolaiv vs Ternopil': result 7-1 and analysis

Persha LigaRegular Season - 32Kick-off on May 21, 2017 at 03:00 PM (UTC)Tsentralnyi miskyi Stadion, Mykolajiv

Mykolaiv
7-1
Ternopil'

Full time

What was the result of Mykolaiv vs Ternopil'?

Mykolaiv won 7-1 on May 21, 2017.

Goalscorers

  • 17′Serhii AleksanovMykolaiv
  • 28′V. BerkoMykolaiv
  • 32′V. BerkoMykolaiv
  • 61′V. BogdanovTernopil'
  • 68′Y. BatiushynMykolaiv
  • 80′Artem BessalovMykolaiv
  • 83′Ivan MorozovMykolaiv
  • 85′V. RogozinskyiMykolaiv

What is the recent form of both teams?

Over their last 15 matches in all competitions, Mykolaiv have 4 wins, 2 draws and 9 defeats; Ternopil' have 1, 2 and 12.

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

Mykolaiv
DateOpponentScoreCompetition
May 17, 2017Veres Rivne(away)1-3Persha Liga
May 13, 2017Bukovyna(home)3-1Persha Liga
May 8, 2017Kobra(away)0-2Persha Liga
May 3, 2017Cherkaskyi Dnipro(home)0-0Persha Liga
Apr 29, 2017Naftovyk-Ukrnafta(away)0-1Persha Liga
Ternopil'
DateOpponentScoreCompetition
May 17, 2017FC Mariupol(home)0-1Persha Liga
May 13, 2017Obolon'-Brovar(away)0-2Persha Liga
May 8, 2017Poltava(home)0-1Persha Liga
May 3, 2017Arsenal Kyiv(away)0-4Persha Liga
Apr 30, 2017Inhulets(home)0-2Persha Liga

What does the head-to-head say?

Across the last 5 meetings: 2 Mykolaiv win(s), 0 draw(s), 3 Ternopil' win(s).

DateScoreCompetition
Oct 22, 2016Ternopil' 2-1 MykolaivPersha Liga
May 27, 2016Ternopil' 0-1 MykolaivPersha Liga
Oct 22, 2015Mykolaiv 3-0 Ternopil'Persha Liga
Mar 20, 2015Ternopil' 4-2 MykolaivPersha Liga
Aug 10, 2014Mykolaiv 1-3 Ternopil'Persha Liga

Last archived meeting: Ternopil' vs Mykolaiv on Oct 22, 2016

How many goals should we expect?

Mykolaiv score 0.7 and concede 1.4 goals per match over their last 15; Ternopil' score 0.3 and concede 1.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Mykolaiv0.71.445/156/15
Ternopil'0.31.913/154/15

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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