Laagri vs JK Tabasalu: result 5-1 and analysis
Esiliiga ARegular Season - 20Kick-off on July 27, 2024 at 09:30 AM (UTC)Laagri kunstmuru, Tallinn
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What was the result of Laagri vs JK Tabasalu?
Laagri won 5-1 on July 27, 2024.
Goalscorers
- 39′M. VahernaJK Tabasalu
- 51′A. KoseLaagri
- 69′K. EermeLaagri (pen.)
- 75′K. EermeLaagri
- 83′K. KriisLaagri
- 89′Rendo RootsLaagri
What is the recent form of both teams?
Over their last 15 matches in all competitions, Laagri have 8 wins, 7 draws and 0 defeats; JK Tabasalu have 3, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 20, 2024 | Viimsi(away) | 4-4 | Esiliiga A |
| Jul 13, 2024 | Tallinna Kalev II(home) | 3-3 | Esiliiga A |
| Jul 6, 2024 | Elva(away) | 0-0 | Esiliiga A |
| Jun 29, 2024 | FC Tallinn(home) | 1-1 | Esiliiga A |
| Jun 16, 2024 | Paide II(home) | 6-0 | Esiliiga A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 20, 2024 | Flora II(away) | 0-5 | Esiliiga A |
| Jul 13, 2024 | Elva(home) | 2-2 | Esiliiga A |
| Jul 6, 2024 | FCI Levadia II(away) | 1-5 | Esiliiga A |
| Jun 29, 2024 | Viimsi(home) | 0-3 | Esiliiga A |
| Jun 19, 2024 | Tallinna Kalev III(away) | 6-0 | Cup |
What does the head-to-head say?
Across the last 2 meetings: 2 Laagri win(s), 0 draw(s), 0 JK Tabasalu win(s).
| Date | Score | Competition |
|---|---|---|
| May 26, 2024 | Laagri 4-3 JK Tabasalu | Esiliiga A |
| Mar 30, 2024 | JK Tabasalu 1-4 Laagri | Esiliiga A |
Last archived meeting: Laagri vs JK Tabasalu on May 26, 2024
How many goals should we expect?
Laagri score 3.1 and concede 1.3 goals per match over their last 15; JK Tabasalu score 1.4 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Laagri | 3.1 | 1.3 | 5 | 10/15 | 10/15 |
| JK Tabasalu | 1.4 | 2.5 | 3 | 7/15 | 12/15 |
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