FCI Tallinn vs Paide: result 1-2 and analysis
MeistriliigaRegular Season - 14Kick-off on June 1, 2013 at 02:00 PM (UTC)Sportland Arena, Tallinn
Full time
What was the result of FCI Tallinn vs Paide?
Paide won 1-2 on June 1, 2013.
Goalscorers
- 24′E. KõllPaide
- 57′Aleksandr VassiljevPaide
- 76′Trevor ElhiFCI Tallinn
What is the recent form of both teams?
Over their last 15 matches in all competitions, FCI Tallinn have 4 wins, 5 draws and 6 defeats; Paide have 6, 1 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 25, 2013 | Tallinna Kalev(away) | 4-1 | Meistriliiga |
| May 20, 2013 | FC Levadia Tallinn(home) | 0-1 | Meistriliiga |
| May 14, 2013 | Kalju Nomme(away) | 0-2 | Meistriliiga |
| May 10, 2013 | Trans Narva(home) | 1-0 | Meistriliiga |
| May 3, 2013 | Trans Narva(away) | 1-1 | Meistriliiga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 24, 2013 | Tammeka(home) | 6-2 | Meistriliiga |
| May 21, 2013 | Trans Narva(home) | 0-1 | Meistriliiga |
| May 15, 2013 | FC Levadia Tallinn(away) | 0-1 | Meistriliiga |
| May 10, 2013 | Tallinna Kalev(home) | 2-1 | Meistriliiga |
| May 4, 2013 | Tallinna Kalev(away) | 0-1 | Meistriliiga |
What does the head-to-head say?
Across the last 1 meetings: 0 FCI Tallinn win(s), 0 draw(s), 1 Paide win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 6, 2013 | Paide 4-0 FCI Tallinn | Meistriliiga |
How many goals should we expect?
FCI Tallinn score 1.1 and concede 1.3 goals per match over their last 15; Paide score 1.6 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FCI Tallinn | 1.1 | 1.3 | 4 | 6/15 | 6/15 |
| Paide | 1.6 | 2.0 | 2 | 8/15 | 10/15 |
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