Tammeka vs Paide: result 1-2 and analysis
MeistriliigaRegular Season - 27Kick-off on September 10, 2011 at 02:00 PM (UTC)Tamme staadion, Tartu
Full time
What was the result of Tammeka vs Paide?
Paide won 1-2 on September 10, 2011.
Goalscorers
- 29′T. LompPaide
- 53′T. AllasPaide
- 55′Kaarel KiidronTammeka
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tammeka have 3 wins, 2 draws and 10 defeats; Paide have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 27, 2011 | Flora Tallinn(away) | 2-3 | Meistriliiga |
| Aug 20, 2011 | Viljandi(home) | 1-3 | Meistriliiga |
| Aug 13, 2011 | Kalju Nomme(away) | 1-3 | Meistriliiga |
| Aug 6, 2011 | Trans Narva(home) | 1-4 | Meistriliiga |
| Jul 30, 2011 | FC Levadia Tallinn(home) | 0-4 | Meistriliiga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 27, 2011 | FC Levadia Tallinn(home) | 0-3 | Meistriliiga |
| Aug 20, 2011 | Sillamäe Kalev(away) | 0-4 | Meistriliiga |
| Aug 13, 2011 | Kuressaare(home) | 1-0 | Meistriliiga |
| Aug 6, 2011 | Ajax Lasnamäe(away) | 6-0 | Meistriliiga |
| Jul 30, 2011 | Trans Narva(away) | 0-3 | Meistriliiga |
What does the head-to-head say?
Across the last 2 meetings: 0 Tammeka win(s), 2 draw(s), 0 Paide win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 2, 2011 | Paide 2-2 Tammeka | Meistriliiga |
| Mar 5, 2011 | Tammeka 2-2 Paide | Meistriliiga |
How many goals should we expect?
Tammeka score 1.4 and concede 2.8 goals per match over their last 15; Paide score 1.1 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tammeka | 1.4 | 2.8 | 2 | 12/15 | 14/15 |
| Paide | 1.1 | 1.8 | 4 | 5/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Tammeka sit 5th in Meistriliiga (32 points from 21 matches) and Paide sit 4th (39 points from 23 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Paide | 23 | 11 | 6 | 6 | 38 | 30 | 39 |
| 5 | Tammeka | 21 | 10 | 2 | 9 | 24 | 31 | 32 |
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