Pärnu vs Luunja: prediction and stats
Esiliiga ARegular Season - 12Kick-off on July 14, 2021 at 04:30 PM (UTC)Pärnu Rannastaadion, Pärnu
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pärnu have 7 wins, 2 draws and 6 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 14, 2021 | FCI Levadia II(away) | 2-1 | Esiliiga A |
| Jun 30, 2021 | Nõmme United(home) | 0-1 | Esiliiga A |
| Jun 27, 2021 | Tallinna Kalev(away) | 2-3 | Esiliiga A |
| Jun 20, 2021 | Paide II(away) | 0-4 | Esiliiga A |
| May 30, 2021 | Flora II(home) | 1-2 | Esiliiga A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 14, 2021 | Nõmme United(away) | 3-2 | Esiliiga A |
| 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 |
What does the head-to-head say?
Across the last 4 meetings: 3 Pärnu wins, 0 draws, 1 Luunja win.
| 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?
Pärnu score 1.8 and concede 1.8 goals per match over their last 15; Luunja score 1.1 and concede 3.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pärnu | 1.8 | 1.8 | 3 | 8/15 | 11/15 |
| Luunja | 1.1 | 3.0 | 1 | 9/15 | 11/15 |
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 Pärnu 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