Match

Flora II vs Puuma: result 4-1 and analysis

Esiliiga ARegular SeasonKick-off on April 7, 2013 at 11:00 AM (UTC)Sportland Arena, Tallinn

Flora II
4-1
Puuma

Full time

What was the result of Flora II vs Puuma?

Flora II won 4-1 on April 7, 2013.

Goalscorers

  • 17′Raido LeokinFlora II (pen.)
  • 43′254354Puuma
  • 60′M. PajunurmFlora II
  • 78′Sander LepikFlora II
  • 90′H. RiibergFlora II

What is the recent form of both teams?

Over their last 15 matches in all competitions, Flora II have 9 wins, 2 draws and 4 defeats; Puuma have 3, 1 and 11.

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

Flora II
DateOpponentScoreCompetition
Mar 31, 2013Orbiit(away)0-3Esiliiga A
Mar 23, 2013Tartu SK 10(home)3-0Esiliiga A
Mar 17, 2013Rakvere Tarvas(home)1-3Esiliiga A
Mar 10, 2013Tulevik(away)0-1Esiliiga A
Nov 4, 2012Pärnu(away)3-0Esiliiga A
Puuma
DateOpponentScoreCompetition
Mar 31, 2013FCI Levadia II(home)1-3Esiliiga A
Mar 23, 2013Tulevik(away)0-1Esiliiga A
Mar 10, 2013Vändra(home)1-2Esiliiga A
Nov 4, 2012Lootus(away)3-4Esiliiga A
Oct 28, 2012Pärnu(home)1-2Esiliiga A

What does the head-to-head say?

Across the last 6 meetings: 4 Flora II win(s), 1 draw(s), 1 Puuma win(s).

DateScoreCompetition
Sep 16, 2012Flora II 0-0 PuumaEsiliiga A
Sep 2, 2012Puuma 2-3 Flora IIEsiliiga A
Jul 1, 2012Flora II 2-1 PuumaEsiliiga A
Mar 11, 2012Puuma 1-2 Flora IIEsiliiga A
Oct 30, 2011Puuma 2-3 Flora IIEsiliiga A
Jul 17, 2011Flora II 0-3 PuumaEsiliiga A

Last archived meeting: Flora II vs Puuma on Sep 16, 2012

How many goals should we expect?

Flora II score 1.9 and concede 0.9 goals per match over their last 15; Puuma score 1.8 and concede 2.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Flora II1.90.994/1510/15
Puuma1.82.7111/1512/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
3Flora II13823362426
3Flora II241248574240

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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