Tauras vs Atlantas: result 0-0 and analysis
A LygaRegular Season - 9Kick-off on April 28, 2012 at 12:00 PM (UTC)FK Tauras dirbtinės dangos stadionas, Tauragė
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What was the result of Tauras vs Atlantas?
Tauras and Atlantas drew 0-0 on April 28, 2012.
Official lineup for Tauras vs Atlantas
The starting elevens fielded at kick-off.
Tauras
- 6T. Vyšniauskas
- 13M. Kižys
- 39R. Kuzin
- 5A. Mascia
- 10M. Perra
- 16O. Borysenko
- 3M. Lėkis
- 11T. Rimas
- 14Aleksandrs Solovjovs
- 19T. Sirevičius
- 32E. Auryla
Atlantas
- 9Z. Kymantas
- 11K. Laukžemis
- 19Evaldas Razulis
- 16D. Kapustas
- 18Edgaras Mastianica
- 27Ernestas Alekna
- 4Dmitrij Šiškin
- 5Davydas Arlauskis
- 8I. Begic
- 15Denis Gordej
- 1G. Štreimikis
What is the recent form of both teams?
Over their last 8 matches in all competitions, Tauras have 2 wins, 0 draws and 6 defeats; Atlantas have 1, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 22, 2012 | Banga(away) | 0-1 | A Lyga |
| Apr 18, 2012 | Dainava(home) | 2-4 | A Lyga |
| Apr 15, 2012 | FK Zalgiris Vilnius(away) | 0-2 | A Lyga |
| Apr 9, 2012 | Šiauliai(home) | 1-0 | A Lyga |
| Mar 31, 2012 | Vilnius(away) | 1-0 | A Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2012 | Ekranas(home) | 0-3 | A Lyga |
| Apr 17, 2012 | Suduva Marijampole(away) | 0-6 | A Lyga |
| Apr 14, 2012 | Kruoja(home) | 0-1 | A Lyga |
| Apr 7, 2012 | Vilnius(home) | 0-0 | A Lyga |
| Apr 1, 2012 | Banga(away) | 1-0 | A Lyga |
How many goals should we expect?
Tauras score 0.6 and concede 2.1 goals per match over their last 8; Atlantas score 0.1 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tauras | 0.6 | 2.1 | 2 | 2/8 | 3/8 |
| Atlantas | 0.1 | 2.5 | 3 | 0/8 | 4/8 |
Over the last 8 matches in all competitions.
A question about Tauras vs Atlantas?
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