Sillamäe Kalev vs Paide: result 2-0 and analysis
MeistriliigaRegular Season - 3Kick-off on March 19, 2011 at 12:00 PM (UTC)Sillamäe Kalevi staadion, Sillamäe
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What was the result of Sillamäe Kalev vs Paide?
Sillamäe Kalev won 2-0 on March 19, 2011.
Goalscorers
- 58′Aleksey AlekseevSillamäe Kalev
- 87′I. MonakovSillamäe Kalev
Official lineup for Sillamäe Kalev vs Paide
The starting elevens fielded at kick-off.
Sillamäe Kalev
- 10Aleksey Alekseev
- 14A. Nikulin
- 7A. Tarassenkov
- 9I. Monakov
- 13Sergey Mironov
- 17S. Vihrov
- 23M. Paponov
- 2A. Cherkasov
- 5Aleksandr Kulik
- 11Ville-Oskari Lehtonen
- 16M. Kaltenhauser
Paide
- 10T. Tikenberg
- 19Janek Kalda
- 7R. Kald
- 8E. Kõll
- 17E. Reinsoo
- 18T. Allas
- 4R. Kööp
- 2Tõnis Vanna
- 13A. Mägi
- 23T. Lomp
- 1M. Kaalma
What is the recent form of both teams?
Over their last 2 matches in all competitions, Sillamäe Kalev have 1 win, 1 draw and 0 defeats; Paide have 0, 2 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 12, 2011 | Ajax Lasnamäe(away) | 5-1 | Meistriliiga |
| Mar 5, 2011 | Kuressaare(home) | 1-1 | Meistriliiga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 12, 2011 | FC Levadia Tallinn(home) | 0-0 | Meistriliiga |
| Mar 5, 2011 | Tammeka(away) | 2-2 | Meistriliiga |
How many goals should we expect?
Sillamäe Kalev score 3.0 and concede 1.0 goals per match over their last 2; Paide score 1.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sillamäe Kalev | 3.0 | 1.0 | 0 | 2/2 | 1/2 |
| Paide | 1.0 | 1.0 | 1 | 1/2 | 1/2 |
Over the last 2 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Paide | 31 | 16 | 6 | 9 | 50 | 38 | 54 |
A question about Sillamäe Kalev vs Paide?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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