Luunja vs Paide II: prediction and stats
Esiliiga ARegular Season - 17Kick-off on August 5, 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 3 wins, 2 draws and 10 defeats; Paide II have 10, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 2, 2021 | Pärnu(home) | 1-3 | Esiliiga A |
| Jul 28, 2021 | Tallinna Kalev(away) | 1-5 | Esiliiga A |
| Jul 25, 2021 | Paide II(away) | 2-8 | Esiliiga A |
| Jul 17, 2021 | Tartu Welco(home) | 6-0 | Esiliiga A |
| Jul 14, 2021 | Nõmme United(away) | 3-2 | Esiliiga A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 2, 2021 | FCI Levadia II(away) | 3-2 | Esiliiga A |
| Jul 28, 2021 | Tartu Welco(home) | 2-1 | Esiliiga A |
| Jul 25, 2021 | Luunja(home) | 8-2 | Esiliiga A |
| Jul 19, 2021 | Elva(away) | 1-0 | Esiliiga A |
| Jul 10, 2021 | Flora II(home) | 8-2 | Esiliiga A |
What does the head-to-head say?
In the last meeting: 0 Luunja wins, 0 draws, 1 Paide II win.
| Date | Score | Competition |
|---|---|---|
| Jul 25, 2021 | Paide II 8-2 Luunja | Esiliiga A |
How many goals should we expect?
Luunja score 1.5 and concede 3.1 goals per match over their last 15; Paide II score 3.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Luunja | 1.5 | 3.1 | 2 | 10/15 | 11/15 |
| Paide II | 3.1 | 1.3 | 5 | 8/14 | 12/14 |
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 Luunja vs Paide 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