Luunja vs Pärnu: prediction and stats
Esiliiga ARegular Season - 14Kick-off on May 23, 2021 at 04:00 PM (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 3 wins, 3 draws and 9 defeats; Pärnu have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 16, 2021 | Nõmme United(home) | 1-6 | Esiliiga A |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 22, 2021 | Tartu Welco(away) | 3-1 | Esiliiga A |
| May 13, 2021 | Maardu(away) | 0-5 | Esiliiga A |
| May 9, 2021 | Luunja(home) | 2-0 | Esiliiga A |
| May 6, 2021 | Nõmme United(away) | 0-5 | Esiliiga A |
| Mar 7, 2021 | Elva(home) | 2-1 | Esiliiga A |
What does the head-to-head say?
Across the last 4 meetings: 1 Luunja win, 0 draws, 3 Pärnu wins.
| Date | Score | Competition |
|---|---|---|
| May 9, 2021 | Pärnu 2-0 Luunja | Esiliiga A |
| Sep 26, 2020 | Luunja 1-5 Pärnu | Esiliiga A |
| Aug 7, 2020 | Pärnu 3-2 Luunja | Esiliiga A |
| Jun 18, 2020 | Luunja 6-1 Pärnu | Esiliiga A |
How many goals should we expect?
Luunja score 1.1 and concede 2.9 goals per match over their last 15; Pärnu score 2.0 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Luunja | 1.1 | 2.9 | 1 | 10/15 | 11/15 |
| Pärnu | 2.0 | 1.8 | 3 | 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 |
|---|---|---|---|---|---|---|---|---|
| 10 | Luunja | 36 | 3 | 1 | 32 | 40 | 137 | 10 |
A question about Luunja vs Pärnu?
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