Flora II vs Paide II: result 2-2 and analysis
Esiliiga ARegular Season - 2Kick-off on May 6, 2021 at 02:00 PM (UTC)Sportland Arena, Tallinn
Full time
What was the result of Flora II vs Paide II?
Flora II and Paide II drew 2-2 on May 6, 2021.
Goalscorers
- 6′A. KiivitFlora II
- 68′A. KiivitFlora II
- 74′S. AerPaide II
- 90′M. EinerPaide II
Official lineup for Flora II vs Paide II
The starting elevens fielded at kick-off.
Flora II
- AA. Kiivit
- NN. Kondratski
- TT. Teeväli
- II. Timofejev
- DD. Kuraksin
- RR. Shein
- II. Ustritski
- EE. Tõugjas
- OO. Niit
- MM. Subka
- II. Paplavskis
Paide II
- JJ. Luts
- SS. Tamme
- JJ. Kokla
- KK. Kärp
- MM. Einer
- MM. Kelement
- SS. Usar
- KK. Pelt
- SS. Aer
- KK. Metso
- MMait Toom
What is the recent form of both teams?
Over their last 15 matches in all competitions, Flora II have 8 wins, 2 draws and 5 defeats; Paide II have 0, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 6, 2021 | Tartu Welco(away) | 0-0 | Esiliiga A |
| Nov 28, 2020 | Luunja(home) | 4-1 | Esiliiga A |
| Nov 25, 2020 | Elva(home) | 3-5 | Esiliiga A |
| Nov 21, 2020 | Maardu(away) | 5-3 | Esiliiga A |
| Nov 7, 2020 | Vaprus(away) | 3-0 | Esiliiga A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 6, 2021 | FCI Levadia II(home) | 1-2 | Esiliiga A |
How many goals should we expect?
Flora II score 2.3 and concede 1.9 goals per match over their last 15; Paide II score 1.0 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Flora II | 2.3 | 1.9 | 3 | 10/15 | 11/15 |
| Paide II | 1.0 | 2.0 | 0 | 1/1 | 1/1 |
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 Flora II 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