Flora Tallinn vs Vaprus: result 2-0 and analysis
MeistriliigaRegular Season - 1Kick-off on June 13, 2021 at 10:00 AM (UTC)A. Le Coq Arena, Tallinn
Full time
What was the result of Flora Tallinn vs Vaprus?
Flora Tallinn won 2-0 on June 13, 2021.
Goalscorers
- 39′M. MillerFlora Tallinn
- 77′M. SeppikFlora Tallinn
What is the recent form of both teams?
Over their last 15 matches in all competitions, Flora Tallinn have 12 wins, 2 draws and 1 defeats; Vaprus have 2, 3 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 29, 2021 | Tulevik(home) | 3-0 | Meistriliiga |
| May 26, 2021 | Trans Narva(away) | 2-0 | Meistriliiga |
| May 22, 2021 | FC Levadia Tallinn(away) | 0-1 | Cup |
| May 19, 2021 | FC Levadia Tallinn(away) | 4-2 | Meistriliiga |
| May 11, 2021 | Trans Narva(home) | 2-1 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 30, 2021 | Tammeka(away) | 2-2 | Meistriliiga |
| May 25, 2021 | Paide(away) | 1-2 | Meistriliiga |
| May 19, 2021 | Kalju Nomme(home) | 1-7 | Meistriliiga |
| May 15, 2021 | FC Levadia Tallinn(home) | 0-4 | Meistriliiga |
| May 11, 2021 | Legion(away) | 1-7 | Meistriliiga |
How many goals should we expect?
Flora Tallinn score 2.5 and concede 0.7 goals per match over their last 15; Vaprus score 1.0 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Flora Tallinn | 2.5 | 0.7 | 7 | 7/15 | 11/15 |
| Vaprus | 1.0 | 2.7 | 2 | 10/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Flora Tallinn sit 3rd in Meistriliiga (42 points from 22 matches) and Vaprus sit 7th (27 points from 23 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Flora Tallinn | 22 | 14 | 0 | 8 | 44 | 25 | 42 |
| 7 | Vaprus | 23 | 8 | 3 | 12 | 31 | 44 | 27 |
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