Levadia U19 vs JK Tabasalu: result 0-2 and analysis
Esiliiga BRegular Season - 4Kick-off on April 3, 2026 at 09:30 AM (UTC)
Full time
What was the result of Levadia U19 vs JK Tabasalu?
JK Tabasalu won 0-2 on April 3, 2026.
Goalscorers
- 44′R. RiigovJK Tabasalu
- 83′S. SaleiJK Tabasalu
What is the recent form of both teams?
Over their last 5 matches in all competitions, Levadia U19 have 2 wins, 0 draws and 3 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 22, 2026 | Legion(away) | 2-0 | Esiliiga B |
| Mar 15, 2026 | Parnu JK Vaprus U21(home) | 2-0 | Esiliiga B |
| Mar 10, 2026 | Luunja(away) | 1-2 | Esiliiga B |
| Oct 23, 2019 | ÍA U19(home) | 1-12 | UEFA Youth League |
| Oct 2, 2019 | ÍA U19(away) | 0-4 | UEFA Youth League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 21, 2026 | Tartu Kalev(away) | 0-4 | Esiliiga B |
| Mar 15, 2026 | Luunja(away) | 3-4 | Esiliiga B |
| 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 |
How many goals should we expect?
Levadia U19 score 1.2 and concede 3.6 goals per match over their last 5; JK Tabasalu score 1.9 and concede 3.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Levadia U19 | 1.2 | 3.6 | 2 | 2/5 | 3/5 |
| JK Tabasalu | 1.9 | 3.1 | 3 | 9/15 | 13/15 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
Levadia U19 sit 2nd in Esiliiga B (62 points from 32 matches) and JK Tabasalu sit 8th (33 points from 30 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Levadia U19 | 32 | 20 | 2 | 10 | 80 | 52 | 62 |
| 8 | JK Tabasalu | 30 | 10 | 3 | 17 | 44 | 81 | 33 |
A question about Levadia U19 vs JK Tabasalu?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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