Viljandi vs Kalju Nomme: result 0-3 and analysis
MeistriliigaRegular Season - 2Kick-off on March 12, 2011 at 09:00 AM (UTC)Sportland Arena, Tallinn
Full time
What was the result of Viljandi vs Kalju Nomme?
Kalju Nomme won 0-3 on March 12, 2011.
Goalscorers
- 48′K. ViikmäeKalju Nomme
- 52′J. JevdokimovKalju Nomme
- 90′J. JevdokimovKalju Nomme (pen.)
Official lineup for Viljandi vs Kalju Nomme
The starting elevens fielded at kick-off.
Viljandi
- 21A. Kulatšenko
- 6Jaan Kekišev
- 7J. Leimann
- 8S. Sinilaid
- 10K. Mööl
- 22Rauno Tutk
- 23Stanislav Goldberg
- 4J. Indermitte
- 5Mikk Sillaste
- 17A. Veis
- 12Aiko Orgla
Kalju Nomme
- 9Tarmo Neemelo
- 11K. Viikmäe
- 15J. Jevdokimov
- 8Kaarlo Rantanen
- 75Hidetoshi Wakui
- 18S. Terehhov
- 3A. Koogas
- 4A. Gutierrez
- 5Alo Bärengrub
- 14K. Kallaste
- 69K. Kütt
What is the recent form of both teams?
In their last match in all competitions, Viljandi have 0 wins, 1 draw and 0 defeats; Kalju Nomme have 0, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 5, 2011 | Trans Narva(home) | 0-0 | Meistriliiga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 5, 2011 | Flora Tallinn(home) | 0-1 | Meistriliiga |
How many goals should we expect?
Viljandi score 0.0 and concede 0.0 goals per match in their last match; Kalju Nomme score 0.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Viljandi | 0.0 | 0.0 | 1 | 0/1 | 0/1 |
| Kalju Nomme | 0.0 | 1.0 | 0 | 0/1 | 0/1 |
Over the last match in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Kalju Nomme | 32 | 15 | 6 | 11 | 54 | 33 | 51 |
A question about Viljandi vs Kalju Nomme?
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