Match

Sillamäe Kalev vs Pärnu: result 1-3 and analysis

MeistriliigaRegular Season - 15Kick-off on June 2, 2017 at 04:00 PM (UTC)Sillamäe Kalevi staadion, Sillamäe

Sillamäe Kalev
1-3
Pärnu

Full time

What was the result of Sillamäe Kalev vs Pärnu?

Pärnu won 1-3 on June 2, 2017.

Goalscorers

  • 50′Rando LeokinPärnu
  • 60′Tõnis VihmojaPärnu
  • 62′Kristen SaartsPärnu
  • 65′A. VolkovSillamäe Kalev

What is the recent form of both teams?

Over their last 15 matches in all competitions, Sillamäe Kalev have 4 wins, 3 draws and 8 defeats; Pärnu have 1, 1 and 13.

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

Sillamäe Kalev
DateOpponentScoreCompetition
May 29, 2017Flora Tallinn(away)2-3Meistriliiga
May 23, 2017Tammeka(home)2-0Meistriliiga
May 20, 2017Paide(home)2-0Meistriliiga
May 13, 2017FCI Tallinn(away)0-3Meistriliiga
May 5, 2017Trans Narva(home)1-1Meistriliiga
Pärnu
DateOpponentScoreCompetition
May 30, 2017Paide(home)0-4Meistriliiga
May 22, 2017FCI Tallinn(away)1-11Meistriliiga
May 19, 2017Trans Narva(away)0-3Meistriliiga
May 13, 2017Tulevik(home)2-0Meistriliiga
May 5, 2017FC Levadia Tallinn(home)1-2Meistriliiga

What does the head-to-head say?

Across the last 6 meetings: 6 Sillamäe Kalev win(s), 0 draw(s), 0 Pärnu win(s).

DateScoreCompetition
Apr 1, 2017Pärnu 1-3 Sillamäe KalevMeistriliiga
Sep 13, 2016Sillamäe Kalev 4-2 PärnuMeistriliiga
Aug 22, 2016Pärnu 2-5 Sillamäe KalevMeistriliiga
Jun 9, 2016Pärnu 0-2 Sillamäe KalevMeistriliiga
Mar 12, 2016Sillamäe Kalev 4-1 PärnuMeistriliiga
Nov 7, 2015Pärnu 1-2 Sillamäe KalevMeistriliiga

Last archived meeting: Pärnu vs Sillamäe Kalev on Apr 1, 2017

How many goals should we expect?

Sillamäe Kalev score 1.3 and concede 1.7 goals per match over their last 15; Pärnu score 0.7 and concede 3.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sillamäe Kalev1.31.738/159/15
Pärnu0.73.717/1511/15

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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