Match

Dynamo Kyiv II vs Sumy: result 4-1 and analysis

Persha LigaRegular Season - 30Kick-off on June 1, 2016 at 03:00 PM (UTC)NTB Dynamo, Koncha-Zaspa

Dynamo Kyiv II
4-1
Sumy

Full time

What was the result of Dynamo Kyiv II vs Sumy?

Dynamo Kyiv II won 4-1 on June 1, 2016.

Goalscorers

  • 26′P. PolehenkoDynamo Kyiv II
  • 83′Artur ZapadnyaDynamo Kyiv II (o.g.)
  • 84′P. PolehenkoDynamo Kyiv II
  • 86′Vyacheslav KoydanSumy
  • 90′Y. NemtinovDynamo Kyiv II

What is the recent form of both teams?

Over their last 15 matches in all competitions, Dynamo Kyiv II have 1 wins, 6 draws and 8 defeats; Sumy have 5, 1 and 9.

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

Dynamo Kyiv II
DateOpponentScoreCompetition
May 27, 2016Cherkaskyi Dnipro(away)1-3Persha Liga
May 21, 2016Hirnyk-Sport(home)1-1Persha Liga
May 15, 2016Obolon'-Brovar(away)0-2Persha Liga
May 11, 2016Kryvbas KR(home)0-0Persha Liga
May 6, 2016FC Mariupol(away)2-4Persha Liga
Sumy
DateOpponentScoreCompetition
May 27, 2016Naftovyk-Ukrnafta(home)3-2Persha Liga
May 20, 2016Mykolaiv(away)1-3Persha Liga
May 15, 2016Desna(home)0-4Persha Liga
May 11, 2016Ternopil'(away)1-0Persha Liga
May 6, 2016Kramatorsk(home)3-2Persha Liga

What does the head-to-head say?

Across the last 6 meetings: 2 Dynamo Kyiv II win(s), 2 draw(s), 2 Sumy win(s).

DateScoreCompetition
Oct 31, 2015Sumy 2-1 Dynamo Kyiv IIPersha Liga
May 24, 2015Sumy 1-1 Dynamo Kyiv IIPersha Liga
Oct 18, 2014Dynamo Kyiv II 2-1 SumyPersha Liga
May 16, 2014Sumy 0-4 Dynamo Kyiv IIPersha Liga
Oct 5, 2013Dynamo Kyiv II 0-2 SumyPersha Liga
Nov 24, 2012Sumy 1-1 Dynamo Kyiv IIPersha Liga

Last archived meeting: Sumy vs Dynamo Kyiv II on Oct 31, 2015

How many goals should we expect?

Dynamo Kyiv II score 0.5 and concede 1.2 goals per match over their last 15; Sumy score 1.1 and concede 1.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Dynamo Kyiv II0.51.255/154/15
Sumy1.11.927/158/15

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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