Paide II vs Elva: prediction and stats
Esiliiga ARegular Season - 19Kick-off on July 10, 2021 at 04:00 PM (UTC)Paide linnastaadion, Paide
Match cancelled
What is the recent form of both teams?
Over their last 9 matches in all competitions, Paide II have 5 wins, 1 draw and 3 defeats; Elva have 5, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 1, 2021 | Tallinna Kalev(home) | 0-4 | Esiliiga A |
| Jun 26, 2021 | Tartu Welco(away) | 4-0 | Esiliiga A |
| Jun 20, 2021 | Pärnu(home) | 4-0 | Esiliiga A |
| May 31, 2021 | Nõmme United(away) | 4-0 | Esiliiga A |
| May 27, 2021 | Maardu(away) | 1-2 | Esiliiga A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 30, 2021 | Luunja(home) | 4-0 | Esiliiga A |
| Jun 27, 2021 | FCI Levadia II(away) | 2-4 | Esiliiga A |
| Jun 20, 2021 | Maardu(home) | 0-6 | Esiliiga A |
| May 30, 2021 | Tallinna Kalev(home) | 0-4 | Esiliiga A |
| May 27, 2021 | Luunja(away) | 0-1 | Esiliiga A |
What does the head-to-head say?
In the last meeting: 1 Paide II win, 0 draws, 0 Elva wins.
| Date | Score | Competition |
|---|---|---|
| May 10, 2021 | Paide II 3-1 Elva | Esiliiga A |
How many goals should we expect?
Paide II score 2.3 and concede 1.2 goals per match over their last 9; Elva score 1.7 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Paide II | 2.3 | 1.2 | 4 | 4/9 | 8/9 |
| Elva | 1.7 | 2.1 | 2 | 8/15 | 11/15 |
Over the last 9 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 Paide II vs Elva?
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