Maardu vs Paide II: prediction and stats
Esiliiga ARegular Season - 27Kick-off on October 16, 2021 at 04:00 PM (UTC)Maardu linnastaadion, Maardu
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Maardu have 11 wins, 1 draw and 3 defeats; Paide II have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 14, 2021 | Elva(home) | 2-1 | Esiliiga A |
| Oct 2, 2021 | Luunja(home) | 4-2 | Esiliiga A |
| Sep 23, 2021 | Tallinna Kalev(away) | 2-4 | Esiliiga A |
| Sep 18, 2021 | Tartu Welco(home) | 7-0 | Esiliiga A |
| Sep 15, 2021 | Flora II(away) | 8-1 | Esiliiga A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2021 | Luunja(away) | 2-2 | Esiliiga A |
| Oct 3, 2021 | Pärnu(home) | 2-4 | Esiliiga A |
| Sep 23, 2021 | FCI Levadia II(home) | 4-1 | Esiliiga A |
| Sep 18, 2021 | Nõmme United(away) | 4-3 | Esiliiga A |
| Sep 15, 2021 | Tallinna Kalev(away) | 3-3 | Esiliiga A |
What does the head-to-head say?
Across the last 2 meetings: 2 Maardu wins, 0 draws, 0 Paide II wins.
| Date | Score | Competition |
|---|---|---|
| Aug 14, 2021 | Paide II 2-5 Maardu | Esiliiga A |
| May 27, 2021 | Maardu 2-1 Paide II | Esiliiga A |
How many goals should we expect?
Maardu score 3.3 and concede 1.4 goals per match over their last 15; Paide II score 3.3 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Maardu | 3.3 | 1.4 | 3 | 12/15 | 13/15 |
| Paide II | 3.3 | 2.1 | 2 | 13/15 | 14/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Maardu | 30 | 12 | 7 | 11 | 47 | 59 | 43 |
A question about Maardu 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