Vilnius vs Tauras: result 0-1 and analysis
A LygaRegular Season - 4Kick-off on March 31, 2012 at 02:00 PM (UTC)Zalgirio stadionas
Full time
What was the result of Vilnius vs Tauras?
Tauras won 0-1 on March 31, 2012.
Goalscorers
- 86′230186Tauras
Official lineup for Vilnius vs Tauras
The starting elevens fielded at kick-off.
Vilnius
- 7A. Romeiko
- 11M. Grigalevičius
- 5Karolis Jasaitis
- 9R. Solomin
- 15M. Makutunovičius
- 18Dariuš Zachaževskij
- 33Andrius Lipskis
- 3Vikentij Ivanov
- 13Jevgenij Moroz
- 88M. Kazlauskas
- 55Valdas Jakimavicius
Tauras
- 6T. Vyšniauskas
- 13M. Kižys
- 22L. Martišauskis
- 23V. Petkevičius
- 39R. Kuzin
- 4L. Vela
- 5A. Mascia
- 16O. Borysenko
- 3M. Lėkis
- 19T. Sirevičius
- 32E. Auryla
What is the recent form of both teams?
Over their last 3 matches in all competitions, Vilnius have 0 wins, 1 draw and 2 defeats; Tauras have 0, 0 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 25, 2012 | Banga(away) | 2-2 | A Lyga |
| Mar 17, 2012 | Ekranas(home) | 0-1 | A Lyga |
| Mar 11, 2012 | Dainava(away) | 2-3 | A Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 25, 2012 | Ekranas(away) | 0-5 | A Lyga |
| Mar 17, 2012 | Suduva Marijampole(home) | 1-4 | A Lyga |
| Mar 10, 2012 | Kruoja(away) | 0-1 | A Lyga |
How many goals should we expect?
Vilnius score 1.3 and concede 2.0 goals per match over their last 3; Tauras score 0.3 and concede 3.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vilnius | 1.3 | 2.0 | 0 | 2/3 | 2/3 |
| Tauras | 0.3 | 3.3 | 0 | 1/3 | 2/3 |
Over the last 3 matches in all competitions.
A question about Vilnius vs Tauras?
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