Paide II vs Flora II: prediction and stats
Esiliiga ARegular Season - 20Kick-off on August 26, 2021 at 03:30 PM (UTC)Paide linnastaadion, Paide
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Paide II have 12 wins, 0 draws and 3 defeats; Flora II have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 25, 2021 | Pärnu(away) | 4-2 | Esiliiga A |
| Aug 19, 2021 | Luunja(away) | 4-0 | Esiliiga A |
| Aug 14, 2021 | Maardu(home) | 2-5 | Esiliiga A |
| Aug 2, 2021 | FCI Levadia II(away) | 3-2 | Esiliiga A |
| Jul 28, 2021 | Tartu Welco(home) | 2-1 | Esiliiga A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 25, 2021 | Luunja(home) | 2-1 | Esiliiga A |
| Aug 20, 2021 | Maardu(away) | 3-1 | Esiliiga A |
| Aug 13, 2021 | Pärnu(home) | 2-0 | Esiliiga A |
| Aug 7, 2021 | Tallinna Kalev(away) | 1-1 | Esiliiga A |
| Aug 2, 2021 | Nõmme United(home) | 2-2 | Esiliiga A |
What does the head-to-head say?
Across the last 2 meetings: 1 Paide II win, 1 draw, 0 Flora II wins.
| Date | Score | Competition |
|---|---|---|
| Jul 10, 2021 | Paide II 8-2 Flora II | Esiliiga A |
| May 6, 2021 | Flora II 2-2 Paide II | Esiliiga A |
How many goals should we expect?
Paide II score 3.3 and concede 1.4 goals per match over their last 15; Flora II score 3.1 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Paide II | 3.3 | 1.4 | 6 | 8/15 | 13/15 |
| Flora II | 3.1 | 1.8 | 3 | 11/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Flora II | 31 | 14 | 6 | 11 | 73 | 55 | 48 |
A question about Paide II vs Flora 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