Flora II vs Laagri: result 2-3 and analysis
Esiliiga ARegular Season - 11Kick-off on May 2, 2022 at 04:00 PM (UTC)Sportland Arena, Tallinn
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What was the result of Flora II vs Laagri?
Laagri won 2-3 on May 2, 2022.
Goalscorers
- 3′H. LeokeFlora II
- 4′A. JärvaLaagri (pen.)
- 9′A. KiivitFlora II
- 44′R. SobtšenkoLaagri
- 52′R. SobtšenkoLaagri
What is the recent form of both teams?
Over their last 15 matches in all competitions, Flora II have 5 wins, 3 draws and 7 defeats; Laagri have 6, 0 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 28, 2022 | Tulevik(away) | 1-1 | Esiliiga A |
| Apr 21, 2022 | K-Järve JK Järve(home) | 1-0 | Esiliiga A |
| Apr 18, 2022 | Pärnu(away) | 0-0 | Esiliiga A |
| Apr 14, 2022 | Elva(away) | 4-1 | Esiliiga A |
| Apr 11, 2022 | Paide II(home) | 0-4 | Esiliiga A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 28, 2022 | Nõmme United(home) | 4-2 | Esiliiga A |
| Apr 23, 2022 | Pärnu(home) | 1-0 | Esiliiga A |
| Apr 18, 2022 | FCI Levadia II(away) | 2-3 | Esiliiga A |
| Apr 14, 2022 | K-Järve JK Järve(home) | 6-1 | Esiliiga A |
| Apr 10, 2022 | Nõmme United(away) | 2-3 | Esiliiga A |
What does the head-to-head say?
Across the last 1 meetings: 0 Flora II win(s), 0 draw(s), 1 Laagri win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 7, 2022 | Laagri 4-2 Flora II | Esiliiga A |
How many goals should we expect?
Flora II score 1.3 and concede 2.3 goals per match over their last 15; Laagri score 3.0 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Flora II | 1.3 | 2.3 | 3 | 7/15 | 8/15 |
| Laagri | 3.0 | 1.5 | 2 | 6/10 | 7/10 |
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 | 13 | 8 | 2 | 3 | 36 | 24 | 26 |
| 3 | Flora II | 24 | 12 | 4 | 8 | 57 | 42 | 40 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy