Banga vs Atlantas: result 0-1 and analysis
A LygaRegular Season - 4Kick-off on April 1, 2012 at 03:00 PM (UTC)Gargždų miesto stadionas, Gargždai
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What was the result of Banga vs Atlantas?
Atlantas won 0-1 on April 1, 2012.
Goalscorers
- 59′Evaldas RazulisAtlantas
Official lineup for Banga vs Atlantas
The starting elevens fielded at kick-off.
Banga
- 21Aurelijus Staponka
- 5Anatoli Ostap
- 8Serge Hyacinthe Tatiefang
- 10Mikas Kura
- 11Evaldas Grigaitis
- 18Andrius Joksas
- 55M. Sulimanov
- 7Nika Mgeladze
- 13M. Gudauskas
- 32Deividas Padaigis
- 1V. Myrnyi
Atlantas
- 9Z. Kymantas
- 19Evaldas Razulis
- 16D. Kapustas
- 18Edgaras Mastianica
- 35Justas Vilavičius
- 4Dmitrij Šiškin
- 5Davydas Arlauskis
- 8I. Begic
- 15Denis Gordej
- 24E. Užkuraitis
- 1G. Štreimikis
What is the recent form of both teams?
Over their last 3 matches in all competitions, Banga have 0 wins, 2 draws and 1 defeat; Atlantas have 0, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 25, 2012 | Vilnius(home) | 2-2 | A Lyga |
| Mar 18, 2012 | Dainava(away) | 0-0 | A Lyga |
| Mar 10, 2012 | FK Zalgiris Vilnius(home) | 1-2 | A Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
How many goals should we expect?
Banga score 1.0 and concede 1.3 goals per match over their last 3; Atlantas score 0.0 and concede 3.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Banga | 1.0 | 1.3 | 1 | 2/3 | 2/3 |
| Atlantas | 0.0 | 3.3 | 1 | 0/3 | 2/3 |
Over the last 3 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Banga | 28 | 11 | 8 | 9 | 32 | 28 | 41 |
A question about Banga 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