Match

Rakvere Tarvas vs Sillamäe Kalev: result 0-3 and analysis

MeistriliigaRegular Season - 36Kick-off on November 5, 2016 at 11:05 AM (UTC)Rakvere linnastaadion, Rakvere

Rakvere Tarvas
0-3
Sillamäe Kalev

Full time

What was the result of Rakvere Tarvas vs Sillamäe Kalev?

Sillamäe Kalev won 0-3 on November 5, 2016.

Goalscorers

  • 13′Alessandro La VecchiaSillamäe Kalev
  • 16′E. KabaevSillamäe Kalev
  • 73′E. KabaevSillamäe Kalev

What is the recent form of both teams?

Over their last 15 matches in all competitions, Rakvere Tarvas have 0 wins, 2 draws and 13 defeats; Sillamäe Kalev have 6, 2 and 7.

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

Rakvere Tarvas
DateOpponentScoreCompetition
Oct 29, 2016FC Levadia Tallinn(home)0-1Meistriliiga
Oct 25, 2016Kalju Nomme(home)1-2Meistriliiga
Oct 22, 2016Kalju Nomme(away)0-2Meistriliiga
Oct 15, 2016Pärnu(home)1-1Meistriliiga
Oct 1, 2016Trans Narva(home)0-6Meistriliiga
Sillamäe Kalev
DateOpponentScoreCompetition
Oct 29, 2016Flora Tallinn(away)3-3Meistriliiga
Oct 22, 2016Tammeka(home)1-2Meistriliiga
Oct 15, 2016FC Levadia Tallinn(home)3-2Meistriliiga
Oct 1, 2016Kalju Nomme(away)1-3Meistriliiga
Sep 24, 2016Paide(away)1-2Meistriliiga

What does the head-to-head say?

Across the last 3 meetings: 0 Rakvere Tarvas win(s), 0 draw(s), 3 Sillamäe Kalev win(s).

DateScoreCompetition
Jul 15, 2016Sillamäe Kalev 4-0 Rakvere TarvasMeistriliiga
May 24, 2016Rakvere Tarvas 0-3 Sillamäe KalevMeistriliiga
Apr 23, 2016Sillamäe Kalev 1-0 Rakvere TarvasMeistriliiga

Last archived meeting: Sillamäe Kalev vs Rakvere Tarvas on Jul 15, 2016

How many goals should we expect?

Rakvere Tarvas score 0.4 and concede 2.9 goals per match over their last 15; Sillamäe Kalev score 2.1 and concede 2.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Rakvere Tarvas0.42.906/159/15
Sillamäe Kalev2.12.0113/1513/15

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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