Paide vs Kalju Nomme: result 0-3 and analysis
MeistriliigaRegular Season - 9Kick-off on April 30, 2011 at 11:00 AM (UTC)Paide linnastaadion, Paide
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What was the result of Paide vs Kalju Nomme?
Kalju Nomme won 0-3 on April 30, 2011.
Goalscorers
- 70′K. ViikmäeKalju Nomme
- 76′K. ViikmäeKalju Nomme
- 90′Tarmo NeemeloKalju Nomme
What is the recent form of both teams?
Over their last 8 matches in all competitions, Paide have 2 wins, 2 draws and 4 defeats; Kalju Nomme have 5, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 23, 2011 | Viljandi(away) | 0-1 | Meistriliiga |
| Apr 16, 2011 | Flora Tallinn(home) | 1-2 | Meistriliiga |
| Apr 9, 2011 | Trans Narva(away) | 0-3 | Meistriliiga |
| Apr 2, 2011 | Ajax Lasnamäe(away) | 2-1 | Meistriliiga |
| Mar 22, 2011 | Kuressaare(home) | 4-1 | Meistriliiga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 23, 2011 | Ajax Lasnamäe(home) | 4-0 | Meistriliiga |
| Apr 16, 2011 | Kuressaare(away) | 1-0 | Meistriliiga |
| Apr 9, 2011 | Sillamäe Kalev(home) | 1-2 | Meistriliiga |
| Apr 2, 2011 | FC Levadia Tallinn(away) | 3-1 | Meistriliiga |
| Mar 22, 2011 | Tammeka(home) | 4-0 | Meistriliiga |
How many goals should we expect?
Paide score 1.1 and concede 1.5 goals per match over their last 8; Kalju Nomme score 2.1 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Paide | 1.1 | 1.5 | 1 | 4/8 | 5/8 |
| Kalju Nomme | 2.1 | 0.6 | 4 | 3/8 | 5/8 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
Paide sit 4th in Meistriliiga (39 points from 23 matches) and Kalju Nomme sit 2nd (44 points from 24 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Kalju Nomme | 24 | 13 | 5 | 6 | 43 | 19 | 44 |
| 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