Match

Jelgava vs Spartaks Jurmala: result 0-3 and analysis

VirsligaRegular Season - 14Kick-off on May 21, 2019 at 03:30 PM (UTC)Zemgales Olimpiskā centra, Jelgava

Jelgava
0-3
Spartaks Jurmala

Full time

What was the result of Jelgava vs Spartaks Jurmala?

Spartaks Jurmala won 0-3 on May 21, 2019.

Goalscorers

  • 11′R. EnninSpartaks Jurmala
  • 68′Edgars GauračsSpartaks Jurmala
  • 82′Tin VukmanićSpartaks Jurmala

What is the recent form of both teams?

Over their last 15 matches in all competitions, Jelgava have 4 wins, 4 draws and 7 defeats; Spartaks Jurmala have 4, 3 and 8.

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

Jelgava
DateOpponentScoreCompetition
May 17, 2019FK Liepaja(away)0-1Virsliga
May 12, 2019Rīgas FS(home)0-0Virsliga
May 8, 2019FK Ventspils(away)1-1Virsliga
May 3, 2019Riga(away)1-1Virsliga
Apr 27, 2019BFC Daugavpils(home)1-0Virsliga
Spartaks Jurmala
DateOpponentScoreCompetition
May 12, 2019FK Liepaja(home)1-0Virsliga
May 8, 2019Rīgas FS(away)0-0Virsliga
May 4, 2019FK Ventspils(home)4-3Virsliga
Apr 28, 2019Riga(home)0-4Virsliga
Apr 23, 2019BFC Daugavpils(away)1-4Virsliga

What does the head-to-head say?

Across the last 6 meetings: 3 Jelgava win(s), 1 draw(s), 2 Spartaks Jurmala win(s).

DateScoreCompetition
Apr 9, 2019Spartaks Jurmala 1-2 JelgavaVirsliga
Sep 23, 2018Jelgava 0-0 Spartaks JurmalaVirsliga
Jul 22, 2018Spartaks Jurmala 4-1 JelgavaVirsliga
May 16, 2018Spartaks Jurmala 1-0 JelgavaVirsliga
Apr 1, 2018Jelgava 1-0 Spartaks JurmalaVirsliga
Oct 14, 2017Spartaks Jurmala 0-1 JelgavaVirsliga

Last archived meeting: Spartaks Jurmala vs Jelgava on Apr 9, 2019

How many goals should we expect?

Jelgava score 0.8 and concede 1.1 goals per match over their last 15; Spartaks Jurmala score 1.2 and concede 2.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Jelgava0.81.138/156/15
Spartaks Jurmala1.22.147/159/15

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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