Kuressaare vs Ajax Lasnamäe: result 1-1 and analysis
MeistriliigaMatchday 3Kick-off on March 19, 2011 at 03:00 PM (UTC)Sportland Arena, Tallinn
Full time
What was the result of Kuressaare vs Ajax Lasnamäe?
Kuressaare and Ajax Lasnamäe drew 1-1 on March 19, 2011.
Goalscorers
- 8′Madis LangeKuressaare
- 45′Aleks MonesAjax Lasnamäe
Official lineup for Kuressaare vs Ajax Lasnamäe
The starting elevens fielded at kick-off.
Kuressaare
- 9Martti Pukk
- 10A. Ilves
- 11Madis Lange
- 18Rene Aljas
- 25S. Viira
- 3K. Saar
- 5A. Aava
- 13R. Reiman
- 22T. Azarov
- 39E. Valmas
- 1P. Pikker
Ajax Lasnamäe
- 18Y. Dmitriev
- 10S. Tasso
- 14Š. Abdullajev
- 22D. Popichits
- 91V. Gerasimov
- 3A. Kirpu
- 5S. Kondratenko
- 7S. Ivanov
- 15Jevgeni Romanov
- 20Aleks Mones
- 1Maksim Mamutov
What is the recent form of both teams?
Over their last 2 matches in all competitions, Kuressaare have 0 wins, 1 draw and 1 defeat; Ajax Lasnamäe have 0, 0 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 12, 2011 | Trans Narva(away) | 0-4 | Meistriliiga |
| Mar 5, 2011 | Sillamäe Kalev(away) | 1-1 | Meistriliiga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 12, 2011 | Sillamäe Kalev(home) | 1-5 | Meistriliiga |
| Mar 5, 2011 | FC Levadia Tallinn(away) | 0-3 | Meistriliiga |
How many goals should we expect?
Kuressaare score 0.5 and concede 2.5 goals per match over their last 2; Ajax Lasnamäe score 0.5 and concede 4.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kuressaare | 0.5 | 2.5 | 0 | 1/2 | 1/2 |
| Ajax Lasnamäe | 0.5 | 4.0 | 0 | 1/2 | 2/2 |
Over the last 2 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Kuressaare | 36 | 10 | 7 | 19 | 36 | 55 | 37 |
A question about Kuressaare vs Ajax Lasnamäe?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy