Luunja vs Maardu: prediction and stats
Esiliiga ARegular Season - 15Kick-off on May 27, 2021 at 04:30 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 4 wins, 2 draws and 9 defeats; Maardu 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 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 |
| May 6, 2021 | Tallinna Kalev(home) | 1-5 | Esiliiga A |
| Nov 28, 2020 | Flora II(away) | 1-4 | Esiliiga A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2021 | Flora II(away) | 3-0 | Esiliiga A |
| May 13, 2021 | Pärnu(home) | 5-0 | Esiliiga A |
| May 9, 2021 | Tallinna Kalev(away) | 2-2 | Esiliiga A |
| May 6, 2021 | FCI Levadia II(away) | 5-0 | Esiliiga A |
| Mar 10, 2021 | FC Levadia Tallinn(away) | 0-2 | Cup |
What does the head-to-head say?
Across the last 4 meetings: 0 Luunja wins, 2 draws, 2 Maardu wins.
| Date | Score | Competition |
|---|---|---|
| Nov 25, 2020 | Maardu 2-2 Luunja | Esiliiga A |
| Oct 17, 2020 | Luunja 3-3 Maardu | Esiliiga A |
| Jul 10, 2020 | Luunja 1-2 Maardu | Esiliiga A |
| May 31, 2020 | Maardu 5-0 Luunja | Esiliiga A |
How many goals should we expect?
Luunja score 1.1 and concede 2.8 goals per match over their last 15; Maardu score 2.6 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Luunja | 1.1 | 2.8 | 2 | 9/15 | 11/15 |
| Maardu | 2.6 | 1.8 | 5 | 8/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Maardu | 29 | 12 | 6 | 11 | 47 | 59 | 42 |
A question about Luunja vs Maardu?
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