Paide II vs Flora II: prediction and stats
Esiliiga ARegular Season - 20Kick-off on July 17, 2021 at 04:00 PM (UTC)Paide linnastaadion, Paide
Match cancelled
What is the recent form of both teams?
Over their last 10 matches in all competitions, Paide II have 6 wins, 1 draw and 3 defeats; Flora II have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 10, 2021 | Flora II(home) | 8-2 | Esiliiga A |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 10, 2021 | Paide II(away) | 2-8 | Esiliiga A |
| Jul 1, 2021 | Tartu Welco(home) | 1-1 | Esiliiga A |
| Jun 26, 2021 | Luunja(away) | 1-0 | Esiliiga A |
| Jun 19, 2021 | Tallinna Kalev(home) | 1-5 | Esiliiga A |
| May 30, 2021 | Pärnu(away) | 2-1 | 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 2.9 and concede 1.3 goals per match over their last 10; Flora II 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 | 2.9 | 1.3 | 4 | 5/10 | 9/10 |
| Flora II | 1.7 | 2.1 | 4 | 9/15 | 10/15 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | 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