Tallinna Kalev vs FC Levadia Tallinn: result 1-2 and analysis
MeistriliigaRegular Season - 8Kick-off on April 14, 2012 at 02:00 PM (UTC)Kalevi Keskstaadioni kunstmuru, Tallinn
Full time
What was the result of Tallinna Kalev vs FC Levadia Tallinn?
FC Levadia Tallinn won 1-2 on April 14, 2012.
Goalscorers
- 13′Rasmus TomsonTallinna Kalev
- 89′Igor MorozovFC Levadia Tallinn (pen.)
- 90′H. MitsuyamaFC Levadia Tallinn (o.g.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tallinna Kalev have 8 wins, 2 draws and 5 defeats; FC Levadia Tallinn have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 10, 2012 | Tammeka(away) | 1-2 | Meistriliiga |
| Apr 7, 2012 | Flora Tallinn(home) | 0-3 | Meistriliiga |
| Mar 31, 2012 | Sillamäe Kalev(away) | 1-4 | Meistriliiga |
| Mar 24, 2012 | Kalju Nomme(away) | 1-3 | Meistriliiga |
| Mar 20, 2012 | Trans Narva(home) | 0-0 | Meistriliiga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 10, 2012 | Kuressaare(home) | 5-0 | Meistriliiga |
| Apr 7, 2012 | Viljandi(away) | 3-0 | Meistriliiga |
| Mar 31, 2012 | Tammeka(away) | 1-0 | Meistriliiga |
| Mar 24, 2012 | Sillamäe Kalev(away) | 0-0 | Meistriliiga |
| Mar 20, 2012 | Flora Tallinn(home) | 1-1 | Meistriliiga |
How many goals should we expect?
Tallinna Kalev score 2.1 and concede 1.4 goals per match over their last 15; FC Levadia Tallinn score 1.9 and concede 0.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tallinna Kalev | 2.1 | 1.4 | 5 | 8/15 | 12/15 |
| FC Levadia Tallinn | 1.9 | 0.4 | 11 | 2/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | FC Levadia Tallinn | 23 | 17 | 5 | 1 | 61 | 18 | 56 |
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