Luunja vs Tallinna Kalev II: result 5-1 and analysis
Esiliiga ARegular Season - 7Kick-off on April 20, 2025 at 09:30 AM (UTC)Tartu Sepa tänava staadion, Tartu
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What was the result of Luunja vs Tallinna Kalev II?
Luunja won 5-1 on April 20, 2025.
Goalscorers
- 27′R. IlvesTallinna Kalev II
- 45′G. KõrgveeLuunja
- 54′G. KõrgveeLuunja
- 62′K. BurovLuunja
- 68′K. KiidronLuunja
- 90′K. KarisLuunja
What is the recent form of both teams?
Over their last 15 matches in all competitions, Luunja have 5 wins, 3 draws and 7 defeats; Tallinna Kalev II have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 10, 2025 | FC Tallinn(away) | 1-3 | Esiliiga A |
| Apr 6, 2025 | FCI Levadia II(home) | 0-1 | Esiliiga A |
| Mar 27, 2025 | Elva(away) | 3-4 | Esiliiga A |
| Mar 15, 2025 | Nõmme Kalju II(home) | 0-2 | Esiliiga A |
| Mar 9, 2025 | Viimsi(home) | 0-1 | Esiliiga A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 10, 2025 | Viimsi(home) | 0-4 | Esiliiga A |
| Apr 6, 2025 | Elva(home) | 0-1 | Esiliiga A |
| Mar 29, 2025 | FCI Levadia II(away) | 1-4 | Esiliiga A |
| Mar 16, 2025 | Flora II(home) | 2-2 | Esiliiga A |
| Mar 6, 2025 | Tartu Welco(away) | 1-1 | Esiliiga A |
How many goals should we expect?
Luunja score 1.7 and concede 1.5 goals per match over their last 15; Tallinna Kalev II score 2.1 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Luunja | 1.7 | 1.5 | 2 | 10/15 | 7/15 |
| Tallinna Kalev II | 2.1 | 2.1 | 0 | 12/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Luunja sit 10th in Esiliiga A (10 points from 36 matches) and Tallinna Kalev II sit 9th (27 points from 36 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Tallinna Kalev II | 36 | 5 | 12 | 19 | 53 | 96 | 27 |
| 10 | Luunja | 36 | 3 | 1 | 32 | 40 | 137 | 10 |
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