Levadia U19 vs Tartu Kalev: result 3-1 and analysis
Esiliiga BRegular Season - 8Kick-off on April 28, 2026 at 03:00 PM (UTC)
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What was the result of Levadia U19 vs Tartu Kalev?
Levadia U19 won 3-1 on April 28, 2026.
Goalscorers
- 7′M. GussevLevadia U19
- 14′F. RodionovLevadia U19
- 34′A. TšernjakovTartu Kalev (o.g.)
- 82′662391Levadia U19
What is the recent form of both teams?
Over their last 9 matches in all competitions, Levadia U19 have 3 wins, 0 draws and 6 defeats; Tartu Kalev have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 24, 2026 | Johvi Phoenix(away) | 3-4 | Esiliiga B |
| Apr 18, 2026 | Tallinna Kalev II(away) | 5-0 | Esiliiga B |
| Apr 12, 2026 | Narva U21(home) | 0-4 | Esiliiga B |
| Apr 3, 2026 | JK Tabasalu(home) | 0-2 | Esiliiga B |
| Mar 22, 2026 | Legion(away) | 2-0 | Esiliiga B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 24, 2026 | Tallinna Kalev II(home) | 1-3 | Esiliiga B |
| Apr 19, 2026 | Luunja(away) | 1-0 | Esiliiga B |
| Apr 11, 2026 | Legion(home) | 1-0 | Esiliiga B |
| Apr 3, 2026 | Tulevik(away) | 3-1 | Esiliiga B |
| Mar 21, 2026 | JK Tabasalu(home) | 4-0 | Esiliiga B |
How many goals should we expect?
Levadia U19 score 1.6 and concede 3.1 goals per match over their last 9; Tartu Kalev score 2.9 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Levadia U19 | 1.6 | 3.1 | 3 | 3/9 | 6/9 |
| Tartu Kalev | 2.9 | 2.3 | 5 | 9/15 | 13/15 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
Levadia U19 sit 2nd in Esiliiga B (44 points from 24 matches) and Tartu Kalev sit 5th (40 points from 24 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Levadia U19 | 24 | 14 | 2 | 8 | 59 | 42 | 44 |
| 5 | Tartu Kalev | 24 | 13 | 1 | 10 | 64 | 46 | 40 |
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