Paide vs FCI Tallinn: result 2-0 and analysis
MeistriliigaRegular Season - 23Kick-off on August 17, 2013 at 04:00 PM (UTC)Paide linnastaadion, Paide
Full time
What was the result of Paide vs FCI Tallinn?
Paide won 2-0 on August 17, 2013.
Goalscorers
- 6′Lauri VarendiPaide
- 36′C. TubarikPaide
What is the recent form of both teams?
Over their last 15 matches in all competitions, Paide have 7 wins, 1 draws and 7 defeats; FCI Tallinn have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 9, 2013 | Tammeka(away) | 0-0 | Meistriliiga |
| Aug 2, 2013 | Trans Narva(away) | 0-2 | Meistriliiga |
| Jul 29, 2013 | FC Levadia Tallinn(home) | 1-3 | Meistriliiga |
| Jul 23, 2013 | Tammeka(away) | 1-0 | Meistriliiga |
| Jul 20, 2013 | Tallinna Kalev(away) | 2-1 | Meistriliiga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 10, 2013 | Tallinna Kalev(home) | 0-1 | Meistriliiga |
| Aug 2, 2013 | FC Levadia Tallinn(away) | 0-3 | Meistriliiga |
| Jul 27, 2013 | Kalju Nomme(home) | 1-1 | Meistriliiga |
| Jul 19, 2013 | Trans Narva(away) | 2-1 | Meistriliiga |
| Jul 12, 2013 | Kuressaare(away) | 1-1 | Meistriliiga |
What does the head-to-head say?
Across the last 2 meetings: 2 Paide win(s), 0 draw(s), 0 FCI Tallinn win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 1, 2013 | FCI Tallinn 1-2 Paide | Meistriliiga |
| Apr 6, 2013 | Paide 4-0 FCI Tallinn | Meistriliiga |
How many goals should we expect?
Paide score 1.2 and concede 1.1 goals per match over their last 15; FCI Tallinn score 0.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Paide | 1.2 | 1.1 | 4 | 5/15 | 7/15 |
| FCI Tallinn | 0.9 | 1.3 | 2 | 6/15 | 6/15 |
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