Luunja vs Tallinna Kalev: prediction and stats
Esiliiga ARegular Season - 8Kick-off on June 19, 2021 at 10:00 AM (UTC)Tartu Sepa tänava staadion, Tartu
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Luunja have 2 wins, 3 draws and 10 defeats; Tallinna Kalev have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 12, 2021 | Maardu(away) | 2-2 | Esiliiga A |
| May 31, 2021 | FCI Levadia II(home) | 3-4 | Esiliiga A |
| May 27, 2021 | Elva(home) | 1-0 | Esiliiga A |
| May 16, 2021 | Nõmme United(home) | 1-6 | Esiliiga A |
| May 9, 2021 | Pärnu(away) | 0-2 | Esiliiga A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 30, 2021 | Elva(away) | 4-0 | Esiliiga A |
| May 27, 2021 | Tartu Welco(home) | 2-1 | Esiliiga A |
| May 21, 2021 | FCI Levadia II(away) | 4-3 | Esiliiga A |
| May 15, 2021 | Paide II(home) | 0-2 | Esiliiga A |
| May 9, 2021 | Maardu(home) | 2-2 | Esiliiga A |
What does the head-to-head say?
In the last meeting: 0 Luunja wins, 0 draws, 1 Tallinna Kalev win.
| Date | Score | Competition |
|---|---|---|
| May 6, 2021 | Luunja 1-5 Tallinna Kalev | Esiliiga A |
Last archived meeting: Luunja vs Tallinna Kalev on May 6, 2021
How many goals should we expect?
Luunja score 1.1 and concede 3.1 goals per match over their last 15; Tallinna Kalev score 2.1 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Luunja | 1.1 | 3.1 | 2 | 9/15 | 11/15 |
| Tallinna Kalev | 2.1 | 1.2 | 4 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Tallinna Kalev | 31 | 10 | 7 | 14 | 54 | 59 | 37 |
A question about Luunja vs Tallinna Kalev?
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