Paide vs Ajax Lasnamäe: result 1-0 and analysis
MeistriliigaRegular Season - 14Kick-off on June 11, 2011 at 04:30 PM (UTC)Paide linnastaadion, Paide
Full time
What was the result of Paide vs Ajax Lasnamäe?
Paide won 1-0 on June 11, 2011.
Goalscorers
- 77′M. NõmmePaide
What is the recent form of both teams?
Over their last 13 matches in all competitions, Paide have 3 wins, 3 draws and 7 defeats; Ajax Lasnamäe have 0, 2 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| May 7, 2011 | Kalju Nomme(away) | 0-0 | Meistriliiga |
| Apr 30, 2011 | Kalju Nomme(home) | 0-3 | Meistriliiga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 28, 2011 | Flora Tallinn(home) | 0-3 | Meistriliiga |
| May 21, 2011 | Viljandi(away) | 1-3 | Meistriliiga |
| May 14, 2011 | Kalju Nomme(home) | 0-3 | Meistriliiga |
| May 7, 2011 | Tammeka(away) | 0-5 | Meistriliiga |
| Apr 30, 2011 | Tammeka(home) | 0-3 | Meistriliiga |
What does the head-to-head say?
Across the last 1 meetings: 1 Paide win(s), 0 draw(s), 0 Ajax Lasnamäe win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 2, 2011 | Ajax Lasnamäe 1-2 Paide | Meistriliiga |
Last archived meeting: Ajax Lasnamäe vs Paide on Apr 2, 2011
How many goals should we expect?
Paide score 0.9 and concede 1.5 goals per match over their last 13; Ajax Lasnamäe score 0.3 and concede 3.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Paide | 0.9 | 1.5 | 2 | 6/13 | 8/13 |
| Ajax Lasnamäe | 0.3 | 3.5 | 1 | 4/13 | 11/13 |
Over the last 13 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