Match

Liepājas Metalurgs vs FC Jūrmala: result 2-0 and analysis

VirsligaRegular Season - 9Kick-off on June 1, 2013 at 04:00 PM (UTC)Stadions Daugava mākslīgas laukums, Liepāja

Liepājas Metalurgs
2-0
FC Jūrmala

Full time

What was the result of Liepājas Metalurgs vs FC Jūrmala?

Liepājas Metalurgs won 2-0 on June 1, 2013.

Goalscorers

  • 35′Jurģis KalnsLiepājas Metalurgs (pen.)
  • 48′V. AfanasjevsLiepājas Metalurgs

What is the recent form of both teams?

Over their last 15 matches in all competitions, Liepājas Metalurgs have 9 wins, 1 draws and 5 defeats; FC Jūrmala have 4, 2 and 9.

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

Liepājas Metalurgs
DateOpponentScoreCompetition
May 15, 2013Ilukstes NSS(away)2-1Virsliga
May 12, 2013Spartaks Jurmala(home)1-2Virsliga
Apr 26, 2013Jelgava(home)3-0Virsliga
Apr 21, 2013Daugavpils / Progress(away)1-1Virsliga
Apr 13, 2013FK Ventspils(home)3-1Virsliga
FC Jūrmala
DateOpponentScoreCompetition
May 21, 2013Daugavpils / Progress(home)0-1Virsliga
May 16, 2013Spartaks Jurmala(home)0-1Virsliga
May 10, 2013FK Ventspils(away)0-3Virsliga
Apr 27, 2013Daugava Rīga(home)0-5Virsliga
Apr 21, 2013Metta / LU(away)2-1Virsliga

What does the head-to-head say?

Across the last 4 meetings: 4 Liepājas Metalurgs win(s), 0 draw(s), 0 FC Jūrmala win(s).

DateScoreCompetition
Sep 23, 2012FC Jūrmala 0-2 Liepājas MetalurgsVirsliga
Jul 29, 2012Liepājas Metalurgs 3-2 FC JūrmalaVirsliga
May 17, 2012FC Jūrmala 0-2 Liepājas MetalurgsVirsliga
Mar 31, 2012Liepājas Metalurgs 2-0 FC JūrmalaVirsliga

Last archived meeting: FC Jūrmala vs Liepājas Metalurgs on Sep 23, 2012

How many goals should we expect?

Liepājas Metalurgs score 2.1 and concede 1.0 goals per match over their last 15; FC Jūrmala score 0.9 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Liepājas Metalurgs2.11.068/1512/15
FC Jūrmala0.91.735/158/15

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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