Luunja vs JK Tabasalu: result 4-3 and analysis
Esiliiga BRegular Season - 2Kick-off on March 15, 2026 at 03:00 PM (UTC)Tartu Sepa tänava staadion, Tartu
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What was the result of Luunja vs JK Tabasalu?
Luunja won 4-3 on March 15, 2026.
Goalscorers
- 16′R. RiigovJK Tabasalu
- 26′A. AnepaioJK Tabasalu
- 36′S. SaleiJK Tabasalu
- 43′R. SilovLuunja
- 82′K. KiidronLuunja (pen.)
- 86′A. ViinapuuLuunja
- 90′K. KiidronLuunja
What is the recent form of both teams?
Over their last 15 matches in all competitions, Luunja have 2 wins, 1 draws and 12 defeats; JK Tabasalu have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 10, 2026 | Levadia U19(home) | 2-1 | Esiliiga B |
| Jan 24, 2026 | Elva(away) | 1-4 | Friendlies Clubs |
| Nov 9, 2025 | FC Tallinn(home) | 5-2 | Esiliiga A |
| Nov 3, 2025 | Tartu Welco(home) | 2-2 | Esiliiga A |
| Oct 26, 2025 | Nõmme Kalju II(away) | 1-4 | Esiliiga A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 7, 2026 | Tulevik(away) | 1-6 | Esiliiga B |
| Feb 1, 2026 | FC Tallinn(away) | 1-5 | Friendlies Clubs |
| Nov 9, 2025 | Nõmme United II(home) | 0-1 | Esiliiga B |
| Nov 1, 2025 | Narva U21(away) | 1-2 | Esiliiga B |
| Oct 23, 2025 | Tartu Kalev(home) | 3-9 | Esiliiga B |
How many goals should we expect?
Luunja score 1.4 and concede 3.5 goals per match over their last 15; JK Tabasalu score 1.7 and concede 2.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Luunja | 1.4 | 3.5 | 0 | 10/15 | 14/15 |
| JK Tabasalu | 1.7 | 2.9 | 3 | 9/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Luunja sit 3rd in Esiliiga B (44 points from 25 matches) and JK Tabasalu sit 8th (29 points from 24 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Luunja | 25 | 13 | 5 | 7 | 67 | 51 | 44 |
| 8 | JK Tabasalu | 24 | 9 | 2 | 13 | 37 | 61 | 29 |
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