Laagri vs Flora II: result 4-2 and analysis
Esiliiga ARegular Season - 2Kick-off on March 7, 2022 at 05:00 PM (UTC)Laagri kunstmuru, Tallinn
Full time
What was the result of Laagri vs Flora II?
Laagri won 4-2 on March 7, 2022.
Goalscorers
- 19′A. JärvaLaagri
- 52′D. KuraksinFlora II
- 56′D. KuraksinFlora II
- 77′M. PaltsLaagri (o.g.)
- 82′K. EermeLaagri
- 90′A. JärvaLaagri
Official lineup for Laagri vs Flora II
The starting elevens fielded at kick-off.
Laagri
- AA. Järva
- MM. Niilop
- KK. Eerme
- RR. Sobtšenko
- IImre Kartau
- JJens Erik Nielsen
- HHans-Kristjan Hansberg
- KKaspar Tilga
- JJ. Kariste
- KK. Dubrovski
- MM. Madik
Flora II
- AA. Kiivit
- MM. Järviste
- HH. Välja
- DD. Kuraksin
- TT. Varjund
- MM. Palts
- EE. Tõugjas
- KK. Orren
- SS. Viira
- OO. Niit
- KK. Nõmm
What is the recent form of both teams?
In their last match in all competitions, Laagri have 1 win, 0 draws and 0 defeats; Flora II have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 3, 2022 | Paide II(away) | 5-1 | Esiliiga A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 3, 2022 | Viimsi(home) | 2-1 | Esiliiga A |
| Jan 22, 2022 | Pärnu(home) | 1-1 | Friendlies Clubs |
| Nov 1, 2021 | Luunja(away) | 2-3 | Esiliiga A |
| Oct 23, 2021 | Paide(away) | 0-14 | Cup |
| Oct 20, 2021 | Elva(home) | 0-1 | Esiliiga A |
How many goals should we expect?
Laagri score 5.0 and concede 1.0 goals per match in their last match; Flora II score 1.6 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Laagri | 5.0 | 1.0 | 0 | 1/1 | 1/1 |
| Flora II | 1.6 | 2.5 | 2 | 10/15 | 10/15 |
Over the last match 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 Laagri vs Flora II?
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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