Atlantas vs Vilnius: result 0-0 and analysis
A LygaRegular Season - 5Kick-off on April 7, 2012 at 03:00 PM (UTC)Gargždų miesto stadionas, Gargždai
Full time
What was the result of Atlantas vs Vilnius?
Atlantas and Vilnius drew 0-0 on April 7, 2012.
Official lineup for Atlantas vs Vilnius
The starting elevens fielded at kick-off.
Atlantas
- 11K. Laukžemis
- 19Evaldas Razulis
- 16D. Kapustas
- 18Edgaras Mastianica
- 35Justas Vilavičius
- 4Dmitrij Šiškin
- 5Davydas Arlauskis
- 8I. Begic
- 15Denis Gordej
- 24E. Užkuraitis
- 1G. Štreimikis
Vilnius
- 7A. Romeiko
- 11M. Grigalevičius
- 4Edgaras Rukštelė
- 5Karolis Jasaitis
- 9R. Solomin
- 33Andrius Lipskis
- 10T. Razanauskas
- 2Audrius Rackus
- 3Vikentij Ivanov
- 13Jevgenij Moroz
- 55Valdas Jakimavicius
What is the recent form of both teams?
Over their last 4 matches in all competitions, Atlantas have 1 win, 1 draw and 2 defeats; Vilnius have 0, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 1, 2012 | Banga(away) | 1-0 | A Lyga |
| Mar 25, 2012 | Dainava(home) | 0-0 | A Lyga |
| Mar 17, 2012 | FK Zalgiris Vilnius(away) | 0-7 | A Lyga |
| Mar 10, 2012 | Šiauliai(home) | 0-3 | A Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 31, 2012 | Tauras(home) | 0-1 | A Lyga |
| 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 |
How many goals should we expect?
Atlantas score 0.3 and concede 2.5 goals per match over their last 4; Vilnius score 1.0 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Atlantas | 0.3 | 2.5 | 2 | 0/4 | 2/4 |
| Vilnius | 1.0 | 1.8 | 0 | 2/4 | 2/4 |
Over the last 4 matches in all competitions.
A question about Atlantas vs Vilnius?
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