Paide II vs Maardu: prediction and stats
Esiliiga ARegular Season - 16Kick-off on May 31, 2021 at 04:00 PM (UTC)Paide linnastaadion, Paide
Match cancelled
What is the recent form of both teams?
Over their last 5 matches in all competitions, Paide II have 2 wins, 1 draw and 2 defeats; Maardu have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 27, 2021 | Maardu(away) | 1-2 | Esiliiga A |
| May 15, 2021 | Tallinna Kalev(away) | 2-0 | Esiliiga A |
| May 10, 2021 | Elva(home) | 3-1 | Esiliiga A |
| May 6, 2021 | Flora II(away) | 2-2 | Esiliiga A |
| Mar 6, 2021 | FCI Levadia II(home) | 1-2 | Esiliiga A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 27, 2021 | Paide II(home) | 2-1 | Esiliiga A |
| May 21, 2021 | Flora II(away) | 3-0 | Esiliiga A |
| May 13, 2021 | Pärnu(home) | 5-0 | Esiliiga A |
| May 9, 2021 | Tallinna Kalev(away) | 2-2 | Esiliiga A |
| May 6, 2021 | FCI Levadia II(away) | 5-0 | 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 1.8 and concede 1.4 goals per match over their last 5; Maardu score 2.5 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Paide II | 1.8 | 1.4 | 1 | 4/5 | 4/5 |
| Maardu | 2.5 | 1.7 | 5 | 8/15 | 12/15 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Maardu | 30 | 12 | 7 | 11 | 47 | 59 | 43 |
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