Luunja vs Elva: prediction and stats
Esiliiga ARegular Season - 3Kick-off on May 9, 2021 at 10:00 AM (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 5 wins, 3 draws and 7 defeats; Elva 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 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 |
| Nov 20, 2020 | Nõmme United(home) | 0-5 | Esiliiga A |
| Nov 7, 2020 | Elva(home) | 1-3 | Esiliiga A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2021 | Tartu Welco(home) | 3-2 | Esiliiga A |
| Mar 7, 2021 | Pärnu(away) | 1-2 | Esiliiga A |
| Nov 29, 2020 | Nõmme United(away) | 0-1 | Esiliiga A |
| Nov 25, 2020 | Flora II(away) | 5-3 | Esiliiga A |
| Nov 21, 2020 | Vaprus(home) | 0-0 | Esiliiga A |
What does the head-to-head say?
Across the last 4 meetings: 2 Luunja win(s), 0 draw(s), 2 Elva win(s).
| Date | Score | Competition |
|---|---|---|
| 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?
Luunja score 1.3 and concede 2.5 goals per match over their last 15; Elva score 1.7 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Luunja | 1.3 | 2.5 | 2 | 10/15 | 11/15 |
| Elva | 1.7 | 1.5 | 4 | 8/15 | 9/15 |
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 | 16 | 7 | 2 | 7 | 29 | 27 | 23 |
| 4 | Elva | 24 | 11 | 4 | 9 | 42 | 37 | 37 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy