Match

Elva vs Rakvere Tarvas: result 2-0 and analysis

Esiliiga ARegular Season - 32Kick-off on October 5, 2019 at 10:00 AM (UTC)Elva linnastaadion, Elva

Elva
2-0
Rakvere Tarvas

Full time

What was the result of Elva vs Rakvere Tarvas?

Elva won 2-0 on October 5, 2019.

Goalscorers

  • 2′J. KuresooElva
  • 34′T. TimmElva (pen.)

What is the recent form of both teams?

Over their last 15 matches in all competitions, Elva have 9 wins, 1 draws and 5 defeats; Rakvere Tarvas have 1, 3 and 11.

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

Elva
DateOpponentScoreCompetition
Sep 29, 2019Tallinna Kalev II(home)2-2Esiliiga A
Sep 23, 2019Flora II(away)1-5Esiliiga A
Sep 19, 2019Vaprus(away)1-0Esiliiga A
Sep 15, 2019K-Järve JK Järve(home)2-0Esiliiga A
Sep 7, 2019Legion(away)3-5Esiliiga A
Rakvere Tarvas
DateOpponentScoreCompetition
Sep 28, 2019Vaprus(home)0-5Esiliiga A
Sep 19, 2019Tartu Welco(away)0-4Esiliiga A
Sep 14, 2019Tammeka II(home)1-4Esiliiga A
Sep 1, 2019Legion(away)0-2Esiliiga A
Aug 29, 2019FCI Levadia II(home)4-2Esiliiga A

What does the head-to-head say?

Across the last 6 meetings: 3 Elva win(s), 1 draw(s), 2 Rakvere Tarvas win(s).

DateScoreCompetition
Aug 23, 2019Rakvere Tarvas 1-4 ElvaEsiliiga A
May 30, 2019Rakvere Tarvas 2-0 ElvaEsiliiga A
Apr 7, 2019Elva 6-0 Rakvere TarvasEsiliiga A
Nov 4, 2018Elva 4-2 Rakvere TarvasEsiliiga A
Aug 9, 2018Rakvere Tarvas 0-0 ElvaEsiliiga A
Apr 28, 2018Rakvere Tarvas 5-1 ElvaEsiliiga A

Last archived meeting: Rakvere Tarvas vs Elva on Aug 23, 2019

How many goals should we expect?

Elva score 2.1 and concede 1.9 goals per match over their last 15; Rakvere Tarvas score 0.9 and concede 3.2.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Elva2.11.9411/1511/15
Rakvere Tarvas0.93.208/1511/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
4Elva16727292723
4Elva241149423737

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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