Match

Hirnyk-Sport vs Mykolaiv: result 3-1 and analysis

Persha LigaRegular Season - 20Kick-off on November 19, 2016 at 11:00 AM (UTC)Stadion Yunist, Horishni Plavni

Hirnyk-Sport
3-1
Mykolaiv

Full time

What was the result of Hirnyk-Sport vs Mykolaiv?

Hirnyk-Sport won 3-1 on November 19, 2016.

Goalscorers

  • 37′Oleksii MoiseenkoHirnyk-Sport
  • 42′Volodymyr KorolkovHirnyk-Sport
  • 79′V. YavorskyiHirnyk-Sport
  • 85′Vage SarkisyanMykolaiv (pen.)

What is the recent form of both teams?

Over their last 15 matches in all competitions, Hirnyk-Sport have 3 wins, 4 draws and 8 defeats; Mykolaiv have 5, 3 and 7.

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

Hirnyk-Sport
DateOpponentScoreCompetition
Nov 14, 2016FC Mariupol(away)1-3Persha Liga
Nov 9, 2016Obolon'-Brovar(home)0-2Persha Liga
Nov 5, 2016Poltava(home)4-0Persha Liga
Oct 29, 2016Arsenal Kyiv(away)0-2Persha Liga
Oct 22, 2016Inhulets(home)3-1Persha Liga
Mykolaiv
DateOpponentScoreCompetition
Nov 13, 2016Skala Stryi(home)2-0Persha Liga
Nov 9, 2016Desna(away)1-3Persha Liga
Nov 5, 2016Kramatorsk(away)0-2Persha Liga
Oct 30, 2016Kolos Kovalivka(home)1-0Persha Liga
Oct 26, 2016Obolon'-Brovar(home)0-0Cup

What does the head-to-head say?

Across the last 5 meetings: 4 Hirnyk-Sport win(s), 0 draw(s), 1 Mykolaiv win(s).

DateScoreCompetition
Aug 5, 2016Mykolaiv 0-1 Hirnyk-SportPersha Liga
May 11, 2016Mykolaiv 2-0 Hirnyk-SportPersha Liga
Oct 3, 2015Hirnyk-Sport 3-1 MykolaivPersha Liga
May 30, 2015Hirnyk-Sport 2-1 MykolaivPersha Liga
Oct 27, 2014Mykolaiv 0-5 Hirnyk-SportPersha Liga

Last archived meeting: Mykolaiv vs Hirnyk-Sport on Aug 5, 2016

How many goals should we expect?

Hirnyk-Sport score 1.2 and concede 2.0 goals per match over their last 15; Mykolaiv score 0.9 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Hirnyk-Sport1.22.038/157/15
Mykolaiv0.91.183/155/15

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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