Tallinna Kalev vs Luunja: prediction and stats
Esiliiga ARegular Season - 13Kick-off on May 16, 2021 at 10:00 AM (UTC)Kalevi Keskstaadioni kunstmuru, Tallinn
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tallinna Kalev have 7 wins, 3 draws and 5 defeats; Luunja have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 15, 2021 | Paide II(home) | 0-2 | Esiliiga A |
| May 9, 2021 | Maardu(home) | 2-2 | Esiliiga A |
| May 6, 2021 | Luunja(away) | 5-1 | Esiliiga A |
| Mar 10, 2021 | Trans Narva(away) | 1-2 | Cup |
| Mar 4, 2021 | Nõmme United(home) | 2-0 | Esiliiga A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 9, 2021 | Pärnu(away) | 0-2 | Esiliiga A |
| May 6, 2021 | Tallinna Kalev(home) | 1-5 | Esiliiga A |
| Nov 28, 2020 | Flora II(away) | 1-4 | Esiliiga A |
| Nov 25, 2020 | Maardu(away) | 2-2 | Esiliiga A |
| Nov 20, 2020 | Nõmme United(home) | 0-5 | Esiliiga A |
What does the head-to-head say?
In the last meeting: 1 Tallinna Kalev win, 0 draws, 0 Luunja wins.
| 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?
Tallinna Kalev score 1.7 and concede 1.2 goals per match over their last 15; Luunja score 1.1 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tallinna Kalev | 1.7 | 1.2 | 5 | 7/15 | 7/15 |
| Luunja | 1.1 | 2.5 | 2 | 9/15 | 10/15 |
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 Tallinna Kalev vs Luunja?
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