Match

JK Tabasalu vs Laagri: result 1-4 and analysis

Esiliiga ARegular Season - 4Kick-off on March 30, 2024 at 03:00 PM (UTC)Tabasalu Staadion, Tabasalu

JK Tabasalu
1-4
Laagri

Full time

What was the result of JK Tabasalu vs Laagri?

Laagri won 1-4 on March 30, 2024.

Goalscorers

  • 10′R. SaarJK Tabasalu
  • 18′K. KriisLaagri
  • 34′J. KaristeLaagri
  • 58′A. KaevatsLaagri
  • 90′K. KriisLaagri

Official lineup for JK Tabasalu vs Laagri

The starting elevens fielded at kick-off.

JK Tabasalu

  1. PP. Klein
  2. RR. Saar
  3. AA. Anepaio
  1. JJ. Kokla
  2. TT. Linde
  3. MM. Toompuu
  4. MM. Põder
  1. FF. Annion
  2. HH. Raaper
  3. MM. Subka
  1. KK. Koort

Laagri

  1. KK. Kriis
  1. RR. Reimaa
  2. MM. Kelement
  3. AA. Kaevats
  4. AA. Sikk
  5. AA. Kose
  6. MM. Kesa
  1. JJ. Kariste
  2. AA. Järve
  3. SS. Viira
  1. MM. Rimmel
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What is the recent form of both teams?

Over their last 15 matches in all competitions, JK Tabasalu have 7 wins, 1 draw and 7 defeats; Laagri have 3, 5 and 7.

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

JK Tabasalu
DateOpponentScoreCompetition
Mar 17, 2024Paide II(home)0-1Esiliiga A
Mar 9, 2024Tartu Welco(away)0-2Esiliiga A
Mar 3, 2024FCI Levadia II(home)1-1Esiliiga A
Feb 25, 2024FC Tallinn(home)3-5Friendlies Clubs
Feb 17, 2024Paide II(home)3-0Friendlies Clubs
Laagri
DateOpponentScoreCompetition
Mar 17, 2024Flora II(home)2-0Esiliiga A
Mar 9, 2024FC Tallinn(away)1-1Esiliiga A
Mar 2, 2024Viimsi(home)2-2Esiliiga A
Feb 23, 2024Super Nova(home)1-2Friendlies Clubs
Feb 10, 2024JDFS Alberts(home)2-2Friendlies Clubs

How many goals should we expect?

JK Tabasalu score 1.9 and concede 1.7 goals per match over their last 15; Laagri score 1.1 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
JK Tabasalu1.91.738/1512/15
Laagri1.11.739/159/15

Over the last 15 matches in all competitions.

A question about JK Tabasalu vs Laagri?

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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