JK Tabasalu vs Parnu JK Vaprus U21: result 1-2 and analysis
Esiliiga BRegular Season - 5Kick-off on April 11, 2026 at 09:30 AM (UTC)Tabasalu Staadion, Tabasalu
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What was the result of JK Tabasalu vs Parnu JK Vaprus U21?
Parnu JK Vaprus U21 won 1-2 on April 11, 2026.
Goalscorers
- 4′S. KolvartParnu JK Vaprus U21
- 16′R. RiigovJK Tabasalu
- 62′K. KutsarParnu JK Vaprus U21
What is the recent form of both teams?
Over their last 15 matches in all competitions, JK Tabasalu have 4 wins, 4 draws and 7 defeats; Parnu JK Vaprus U21 have 2, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 3, 2026 | Levadia U19(away) | 2-0 | Esiliiga B |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 3, 2026 | Johvi Phoenix(home) | 3-1 | Esiliiga B |
| Mar 22, 2026 | Narva U21(away) | 0-5 | Esiliiga B |
| Mar 15, 2026 | Levadia U19(away) | 0-2 | Esiliiga B |
| Mar 8, 2026 | Tartu Kalev(home) | 5-1 | Esiliiga B |
| Feb 14, 2026 | Nõmme United II(home) | 3-4 | Friendlies Clubs |
How many goals should we expect?
JK Tabasalu score 2.0 and concede 2.7 goals per match over their last 15; Parnu JK Vaprus U21 score 2.1 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| JK Tabasalu | 2.0 | 2.7 | 4 | 9/15 | 12/15 |
| Parnu JK Vaprus U21 | 2.1 | 2.7 | 0 | 5/7 | 6/7 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
JK Tabasalu sit 8th in Esiliiga B (29 points from 24 matches) and Parnu JK Vaprus U21 sit 7th (34 points from 24 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Parnu JK Vaprus U21 | 24 | 10 | 4 | 10 | 63 | 54 | 34 |
| 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