Legion vs Paide: result 0-2 and analysis
MeistriliigaRegular Season - 24Kick-off on October 18, 2020 at 12:00 PM (UTC)Kadrioru staadion, Tallinn
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What was the result of Legion vs Paide?
Paide won 0-2 on October 18, 2020.
Goalscorers
- 69′D. PankovPaide (o.g.)
- 90′K. KauberPaide
What is the recent form of both teams?
Over their last 15 matches in all competitions, Legion have 6 wins, 3 draws and 6 defeats; Paide have 12, 0 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 4, 2020 | Kalju Nomme(away) | 1-1 | Meistriliiga |
| Sep 30, 2020 | Saku Sporting(home) | 11-0 | Cup |
| Sep 27, 2020 | Tammeka(home) | 3-1 | Meistriliiga |
| Sep 19, 2020 | Kuressaare(away) | 2-2 | Meistriliiga |
| Sep 13, 2020 | Trans Narva(home) | 2-1 | Meistriliiga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 4, 2020 | FC Levadia Tallinn(home) | 1-0 | Meistriliiga |
| Sep 30, 2020 | Pocarr(home) | 13-0 | Cup |
| Sep 26, 2020 | Tallinna Kalev(home) | 4-1 | Meistriliiga |
| Sep 12, 2020 | Tulevik(away) | 4-1 | Meistriliiga |
| Aug 30, 2020 | Tammeka(home) | 3-1 | Meistriliiga |
What does the head-to-head say?
Across the last 2 meetings: 0 Legion win(s), 0 draw(s), 2 Paide win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 1, 2020 | Legion 0-3 Paide | Meistriliiga |
| Jun 27, 2020 | Paide 2-0 Legion | Meistriliiga |
How many goals should we expect?
Legion score 2.5 and concede 1.7 goals per match over their last 15; Paide score 5.2 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Legion | 2.5 | 1.7 | 4 | 6/15 | 10/15 |
| Paide | 5.2 | 0.9 | 7 | 7/15 | 13/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Paide | 23 | 11 | 6 | 6 | 38 | 30 | 39 |
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