Tauras vs Suduva Marijampole: result 1-4 and analysis
A LygaRegular Season - 2Kick-off on March 17, 2012 at 11:00 AM (UTC)FK Tauras dirbtinės dangos stadionas, Tauragė
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What was the result of Tauras vs Suduva Marijampole?
Suduva Marijampole won 1-4 on March 17, 2012.
Goalscorers
- 15′Ričardas BeniušisSuduva Marijampole
- 23′Nerijus RadžiusSuduva Marijampole
- 65′Craig ThomsonSuduva Marijampole
- 67′R. KuzinTauras
- 76′V. BorovskisSuduva Marijampole
Official lineup for Tauras vs Suduva Marijampole
The starting elevens fielded at kick-off.
Tauras
- 9M. Di Piedi
- 6T. Vyšniauskas
- 13M. Kižys
- 22L. Martišauskis
- 23V. Petkevičius
- 4L. Vela
- 10M. Perra
- 16O. Borysenko
- 3M. Lėkis
- 11T. Rimas
- 19T. Sirevičius
Suduva Marijampole
- 8Ričardas Beniušis
- 82Rafael Ledesma
- 9T. Eliošius
- 12Povilas Leimonas
- 17Andrius Urbšys
- 2Nerijus Radžius
- 3V. Borovskis
- 15S. Loginov
- 19Vaidas Slavickas
- 88M. Šoblinskas
- 31D. Bartkus
What is the recent form of both teams?
In their last match in all competitions, Tauras have 0 wins, 0 draws and 1 defeat; Suduva Marijampole have 1, 0 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 10, 2012 | Kruoja(away) | 0-1 | A Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 11, 2012 | Ekranas(home) | 3-1 | A Lyga |
How many goals should we expect?
Tauras score 0.0 and concede 1.0 goals per match in their last match; Suduva Marijampole score 3.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tauras | 0.0 | 1.0 | 0 | 0/1 | 0/1 |
| Suduva Marijampole | 3.0 | 1.0 | 0 | 1/1 | 1/1 |
Over the last match in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Suduva Marijampole | 30 | 13 | 11 | 6 | 39 | 30 | 50 |
A question about Tauras vs Suduva Marijampole?
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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