Match

Dinamo Vranje vs Sindjelic Beograd: result 4-1 and analysis

Prva LigaRegular Season - 13Kick-off on November 13, 2017 at 12:00 PM (UTC)Stadion YUMCO, Vranje

Dinamo Vranje
4-1
Sindjelic Beograd

Full time

What was the result of Dinamo Vranje vs Sindjelic Beograd?

Dinamo Vranje won 4-1 on November 13, 2017.

Goalscorers

  • 16′Milan StankovićDinamo Vranje
  • 35′Zakaria Isa SurakaDinamo Vranje
  • 45′Zakaria Isa SurakaDinamo Vranje
  • 62′D. VukčevićSindjelic Beograd
  • 76′Zakaria Isa SurakaDinamo Vranje

What is the recent form of both teams?

Over their last 15 matches in all competitions, Dinamo Vranje have 9 wins, 4 draws and 2 defeats; Sindjelic Beograd have 7, 7 and 1.

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

Dinamo Vranje
DateOpponentScoreCompetition
Nov 4, 2017Jagodina(away)0-0Prva Liga
Oct 30, 2017CSK Pivara(home)1-0Prva Liga
Oct 21, 2017Metalac GM(away)2-0Prva Liga
Oct 16, 2017Buducnost Dobanovci(home)1-0Prva Liga
Oct 7, 2017TSC Backa Topola(away)0-0Prva Liga
Sindjelic Beograd
DateOpponentScoreCompetition
Nov 6, 2017Bezanija(home)2-2Prva Liga
Oct 30, 2017Proleter Novi SAD(away)0-1Prva Liga
Oct 21, 2017Radnicki Pirot(home)2-0Prva Liga
Oct 15, 2017Temnic 1924(away)2-0Prva Liga
Oct 7, 2017Sloboda Uzice(home)1-1Prva Liga

What does the head-to-head say?

Across the last 2 meetings: 0 Dinamo Vranje win(s), 2 draw(s), 0 Sindjelic Beograd win(s).

DateScoreCompetition
Apr 15, 2017Sindjelic Beograd 1-1 Dinamo VranjePrva Liga
Sep 25, 2016Dinamo Vranje 0-0 Sindjelic BeogradPrva Liga

Last archived meeting: Sindjelic Beograd vs Dinamo Vranje on Apr 15, 2017

How many goals should we expect?

Dinamo Vranje score 1.6 and concede 0.9 goals per match over their last 15; Sindjelic Beograd score 1.3 and concede 0.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Dinamo Vranje1.60.986/155/15
Sindjelic Beograd1.30.686/154/15

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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