Luunja vs Flora II: prediction and stats
Esiliiga ARegular Season - 9Kick-off on April 26, 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 6 wins, 3 draws and 6 defeats; Flora II have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Nov 7, 2020 | Elva(home) | 1-3 | Esiliiga A |
| Oct 30, 2020 | Vaprus(away) | 0-4 | Esiliiga A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 6, 2021 | Tartu Welco(away) | 0-0 | Esiliiga A |
| Nov 28, 2020 | Luunja(home) | 4-1 | Esiliiga A |
| Nov 25, 2020 | Elva(home) | 3-5 | Esiliiga A |
| Nov 21, 2020 | Maardu(away) | 5-3 | Esiliiga A |
| Nov 7, 2020 | Vaprus(away) | 3-0 | Esiliiga A |
What does the head-to-head say?
Across the last 4 meetings: 1 Luunja win, 0 draws, 3 Flora II wins.
| Date | Score | Competition |
|---|---|---|
| Nov 28, 2020 | Flora II 4-1 Luunja | Esiliiga A |
| Aug 24, 2020 | Luunja 3-2 Flora II | Esiliiga A |
| Jul 16, 2020 | Flora II 2-0 Luunja | Esiliiga A |
| Jun 8, 2020 | Luunja 0-2 Flora II | Esiliiga A |
How many goals should we expect?
Luunja score 1.4 and concede 2.3 goals per match over their last 15; Flora II score 2.3 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Luunja | 1.4 | 2.3 | 2 | 10/15 | 11/15 |
| Flora II | 2.3 | 1.9 | 3 | 10/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 3 | Flora II | 31 | 14 | 6 | 11 | 73 | 55 | 48 |
A question about Luunja vs Flora II?
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