Elva vs Luunja: prediction and stats
Esiliiga ARegular Season - 7Kick-off on May 30, 2021 at 10:00 AM (UTC)Elva linnastaadion, Elva
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Elva have 5 wins, 3 draws and 7 defeats; Luunja have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 27, 2021 | Luunja(away) | 0-1 | Esiliiga A |
| May 20, 2021 | Nõmme United(home) | 5-2 | Esiliiga A |
| May 16, 2021 | Flora II(away) | 0-1 | Esiliiga A |
| May 10, 2021 | Paide II(away) | 1-3 | Esiliiga A |
| May 6, 2021 | Tartu Welco(home) | 3-2 | Esiliiga A |
| 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 |
What does the head-to-head say?
Across the last 5 meetings: 2 Elva wins, 0 draws, 3 Luunja wins.
| Date | Score | Competition |
|---|---|---|
| May 27, 2021 | Luunja 1-0 Elva | Esiliiga A |
| Nov 7, 2020 | Luunja 1-3 Elva | Esiliiga A |
| Oct 25, 2020 | Elva 0-1 Luunja | Esiliiga A |
| Aug 1, 2020 | Luunja 5-1 Elva | Esiliiga A |
| Jul 29, 2020 | Elva 2-1 Luunja | Esiliiga A |
How many goals should we expect?
Elva score 1.5 and concede 1.5 goals per match over their last 15; Luunja score 1.1 and concede 2.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Elva | 1.5 | 1.5 | 2 | 9/15 | 8/15 |
| Luunja | 1.1 | 2.8 | 2 | 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 |
|---|---|---|---|---|---|---|---|---|
| 4 | Elva | 31 | 14 | 6 | 11 | 47 | 48 | 48 |
A question about Elva 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