Paide II vs Maardu: prediction and stats
Esiliiga ARegular Season - 16Kick-off on July 31, 2021 at 04:00 PM (UTC)Paide linnastaadion, Paide
Match cancelled
What is the recent form of both teams?
Over their last 13 matches in all competitions, Paide II have 9 wins, 1 draw and 3 defeats; Maardu have 11, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Jul 1, 2021 | Tallinna Kalev(home) | 0-4 | Esiliiga A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 28, 2021 | Pärnu(away) | 2-1 | Esiliiga A |
| Jul 17, 2021 | Nõmme United(home) | 5-1 | Esiliiga A |
| Jul 14, 2021 | Tartu Welco(away) | 4-0 | Esiliiga A |
| Jul 3, 2021 | FCI Levadia II(home) | 3-1 | Esiliiga A |
| Jun 26, 2021 | Nõmme United(away) | 3-1 | Esiliiga A |
What does the head-to-head say?
In the last meeting: 0 Paide II wins, 0 draws, 1 Maardu win.
| Date | Score | Competition |
|---|---|---|
| May 27, 2021 | Maardu 2-1 Paide II | Esiliiga A |
How many goals should we expect?
Paide II score 3.1 and concede 1.2 goals per match over their last 13; Maardu score 3.3 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Paide II | 3.1 | 1.2 | 5 | 7/13 | 11/13 |
| Maardu | 3.3 | 1.0 | 6 | 8/15 | 14/15 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Maardu | 29 | 12 | 6 | 11 | 47 | 59 | 42 |
A question about Paide II vs Maardu?
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