Match

Paide vs Legion: result 2-0 and analysis

MeistriliigaRegular Season - 9Kick-off on June 27, 2020 at 04:00 PM (UTC)Paide linnastaadion, Paide

Paide
2-0
Legion

Full time

What was the result of Paide vs Legion?

Paide won 2-0 on June 27, 2020.

Goalscorers

  • 39′E. TurPaide
  • 54′K. MöölPaide

Official lineup for Paide vs Legion

The starting elevens fielded at kick-off.

Paide

  1. 9K. Piht
  2. 19S. Luts
  1. 10A. Frolov
  2. 16S. Mošnikov
  3. 17Bruno Souza Caprioli
  4. 33K. Mööl
  1. 4Mikel Gurrutxaga
  2. 6M. Sanneh
  3. 14Martin Kase
  4. 20E. Tur
  1. 73Mait Toom

Legion

  1. 4L. Arhipov
  1. 3Andrei Sidorenkov
  2. 6G. Šlein
  3. 7D. Vnukov
  4. 13Maksim Lipin
  5. 15D. Pankov
  6. 33Nikolay Mashichev
  1. 8German Ussov
  2. 30A. Volodin
  3. 77A. Šarnin
  1. 39P. Londak
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Paide have 8 wins, 0 draws and 7 defeats; Legion have 7, 3 and 5.

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

Paide
DateOpponentScoreCompetition
Jun 17, 2020Kalju Nomme(away)1-0Meistriliiga
Jun 14, 2020Trans Narva(home)2-1Meistriliiga
Jun 7, 2020Tammeka(away)2-0Meistriliiga
Jun 3, 2020Flora Tallinn(home)1-3Meistriliiga
May 31, 2020FC Levadia Tallinn(away)1-4Meistriliiga
Legion
DateOpponentScoreCompetition
Jun 16, 2020Tulevik(home)0-2Meistriliiga
Jun 13, 2020Kuressaare(away)0-0Meistriliiga
Jun 6, 2020Trans Narva(home)0-0Meistriliiga
Jun 2, 2020Tallinna Kalev(away)0-1Meistriliiga
May 30, 2020Tammeka(home)0-1Meistriliiga

How many goals should we expect?

Paide score 1.7 and concede 1.4 goals per match over their last 15; Legion score 2.9 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Paide1.71.448/159/15
Legion2.90.974/158/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
3Paide311669503854

A question about Paide vs Legion?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.

How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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