Tallinna Kalev vs Luunja: prediction and stats
Esiliiga ARegular Season - 11Kick-off on July 9, 2021 at 04:00 PM (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 9 wins, 3 draws and 3 defeats; Luunja have 2, 3 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 1, 2021 | Paide II(away) | 4-0 | Esiliiga A |
| Jun 27, 2021 | Pärnu(home) | 3-2 | Esiliiga A |
| Jun 19, 2021 | Flora II(away) | 5-1 | Esiliiga A |
| May 30, 2021 | Elva(away) | 4-0 | Esiliiga A |
| May 27, 2021 | Tartu Welco(home) | 2-1 | Esiliiga A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 30, 2021 | Elva(away) | 0-4 | Esiliiga A |
| Jun 26, 2021 | Flora II(home) | 0-1 | Esiliiga A |
| Jun 19, 2021 | Tartu Welco(away) | 1-1 | Esiliiga A |
| Jun 12, 2021 | Maardu(away) | 2-2 | Esiliiga A |
| May 31, 2021 | FCI Levadia II(home) | 3-4 | Esiliiga A |
What does the head-to-head say?
Across the last 1 meetings: 1 Tallinna Kalev win(s), 0 draw(s), 0 Luunja win(s).
| 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 2.3 and concede 1.2 goals per match over their last 15; Luunja score 0.9 and concede 2.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tallinna Kalev | 2.3 | 1.2 | 4 | 9/15 | 9/15 |
| Luunja | 0.9 | 2.9 | 2 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 5 | Tallinna Kalev | 16 | 5 | 3 | 8 | 27 | 32 | 18 |
| 5 | Tallinna Kalev | 24 | 10 | 5 | 9 | 47 | 42 | 35 |
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