Paide vs Sillamäe Kalev: result 1-0 and analysis
MeistriliigaRegular Season - 16Kick-off on June 18, 2011 at 02:00 PM (UTC)Paide linnastaadion, Paide
Full time
What was the result of Paide vs Sillamäe Kalev?
Paide won 1-0 on June 18, 2011.
Goalscorers
- 80′254823Paide
What is the recent form of both teams?
Over their last 15 matches in all competitions, Paide have 4 wins, 3 draws and 8 defeats; Sillamäe Kalev have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 14, 2011 | Kuressaare(away) | 0-1 | Meistriliiga |
| Jun 11, 2011 | Ajax Lasnamäe(home) | 1-0 | Meistriliiga |
| May 28, 2011 | Trans Narva(home) | 0-1 | Meistriliiga |
| May 21, 2011 | Flora Tallinn(away) | 1-2 | Meistriliiga |
| May 17, 2011 | Viljandi(home) | 2-1 | Meistriliiga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 14, 2011 | Flora Tallinn(home) | 0-1 | Meistriliiga |
| Jun 11, 2011 | Viljandi(away) | 3-2 | Meistriliiga |
| May 28, 2011 | Kalju Nomme(home) | 1-1 | Meistriliiga |
| May 24, 2011 | Kuressaare(away) | 1-0 | Meistriliiga |
| May 21, 2011 | Tammeka(away) | 4-1 | Meistriliiga |
What does the head-to-head say?
Across the last 1 meetings: 0 Paide win(s), 0 draw(s), 1 Sillamäe Kalev win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 19, 2011 | Sillamäe Kalev 2-0 Paide | Meistriliiga |
Last archived meeting: Sillamäe Kalev vs Paide on Mar 19, 2011
How many goals should we expect?
Paide score 0.9 and concede 1.3 goals per match over their last 15; Sillamäe Kalev score 1.7 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Paide | 0.9 | 1.3 | 3 | 6/15 | 8/15 |
| Sillamäe Kalev | 1.7 | 1.5 | 3 | 9/15 | 9/15 |
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