Match

Dynamo Kyiv II vs Mykolaiv: result 3-1 and analysis

Persha LigaRegular Season - 16Kick-off on November 9, 2014 at 12:00 PM (UTC)NTB Dynamo, Koncha-Zaspa

Dynamo Kyiv II
3-1
Mykolaiv

Full time

What was the result of Dynamo Kyiv II vs Mykolaiv?

Dynamo Kyiv II won 3-1 on November 9, 2014.

Goalscorers

  • 3′D. KhliobasDynamo Kyiv II
  • 29′D. KhliobasDynamo Kyiv II
  • 54′A. PolyarusDynamo Kyiv II
  • 88′V. BerkoMykolaiv

What is the recent form of both teams?

Over their last 15 matches in all competitions, Dynamo Kyiv II have 6 wins, 4 draws and 5 defeats; Mykolaiv have 5, 3 and 7.

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

Dynamo Kyiv II
DateOpponentScoreCompetition
Nov 2, 2014Nyva Ternopil(home)2-0Persha Liga
Oct 23, 2014Kryvbas KR(away)0-0Persha Liga
Oct 18, 2014Sumy(home)2-1Persha Liga
Oct 3, 2014Kobra(home)4-0Persha Liga
Sep 27, 2014Desna(away)1-2Persha Liga
Mykolaiv
DateOpponentScoreCompetition
Nov 2, 2014Zirka(away)1-0Persha Liga
Oct 27, 2014Hirnyk-Sport(home)0-5Persha Liga
Oct 18, 2014Poltava(away)3-3Persha Liga
Oct 11, 2014Stal Alchevsk(home)1-0Persha Liga
Oct 6, 2014Naftovyk-Ukrnafta(home)1-2Persha Liga

What does the head-to-head say?

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

DateScoreCompetition
Jul 26, 2014Mykolaiv 0-0 Dynamo Kyiv IIPersha Liga
Nov 30, 2013Mykolaiv 3-0 Dynamo Kyiv IIPersha Liga
Aug 4, 2013Dynamo Kyiv II 1-2 MykolaivPersha Liga
May 26, 2013Mykolaiv 2-0 Dynamo Kyiv IIPersha Liga
Oct 15, 2012Dynamo Kyiv II 1-2 MykolaivPersha Liga
Mar 24, 2012Mykolaiv 1-2 Dynamo Kyiv IIPersha Liga

Last archived meeting: Mykolaiv vs Dynamo Kyiv II on Jul 26, 2014

How many goals should we expect?

Dynamo Kyiv II score 1.1 and concede 0.8 goals per match over their last 15; Mykolaiv score 1.4 and concede 2.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Dynamo Kyiv II1.10.884/155/15
Mykolaiv1.42.0210/1510/15

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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