Dainava vs Kruoja: result 0-0 and analysis
A LygaRegular Season - 4Kick-off on March 30, 2012 at 04:00 PM (UTC)Marijampolės futbolo arenos maniežas, Marijampolė
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What was the result of Dainava vs Kruoja?
Dainava and Kruoja drew 0-0 on March 30, 2012.
Official lineup for Dainava vs Kruoja
The starting elevens fielded at kick-off.
Dainava
- 2V. Baranovskij
- 11Arsenij Buinickij
- 4S. Paulius
- 12Renaldas Stankevicius
- 16D. Cibulskas
- 17M. Biržinis
- 19N. Bartkevičius
- 3A. Mikaitis
- 6V. Rutkauskas
- 23R. Kliukoitis
- 44A. Dubickas
Kruoja
- 11V. Antipov
- 14Valerijs Cistjakovs
- 17Gvidas Juška
- 7E. Veliulis
- 9Donatas Petrauskas
- 24Tomas Miklinevičius
- 25M. Bilyk
- 55Konstantin Matsion
- 39I. Zelmikas
- 84Alfredas Skroblas
- 16M. Eltermanis
What is the recent form of both teams?
Over their last 3 matches in all competitions, Dainava have 1 win, 2 draws and 0 defeats; Kruoja have 1, 0 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 | Atlantas(away) | 0-0 | A Lyga |
| Mar 18, 2012 | Banga(home) | 0-0 | A Lyga |
| Mar 11, 2012 | Vilnius(home) | 3-2 | A Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 24, 2012 | FK Zalgiris Vilnius(home) | 0-1 | A Lyga |
| Mar 18, 2012 | Šiauliai(away) | 1-2 | A Lyga |
| Mar 10, 2012 | Tauras(home) | 1-0 | A Lyga |
How many goals should we expect?
Dainava score 1.0 and concede 0.7 goals per match over their last 3; Kruoja score 0.7 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dainava | 1.0 | 0.7 | 2 | 1/3 | 1/3 |
| Kruoja | 0.7 | 1.0 | 1 | 1/3 | 1/3 |
Over the last 3 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Dainava | 36 | 3 | 9 | 24 | 27 | 76 | 18 |
A question about Dainava vs Kruoja?
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