Vilnius vs Dainava: result 0-3 and analysis
A LygaRegular Season - 28Kick-off on September 15, 2012 at 02:00 PM (UTC)Zalgirio stadionas
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What was the result of Vilnius vs Dainava?
Dainava won 0-3 on September 15, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vilnius have 3 wins, 1 draw and 11 defeats; Dainava have 3, 1 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 31, 2012 | Suduva Marijampole(away) | 0-3 | A Lyga |
| Aug 26, 2012 | FK Zalgiris Vilnius(home) | 0-3 | A Lyga |
| Aug 21, 2012 | Kruoja(away) | 0-3 | A Lyga |
| Aug 18, 2012 | Šiauliai(home) | 3-5 | A Lyga |
| Aug 11, 2012 | Atlantas(away) | 2-4 | A Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 2, 2012 | FK Zalgiris Vilnius(away) | 0-3 | A Lyga |
| Aug 26, 2012 | Šiauliai(home) | 0-2 | A Lyga |
| Aug 23, 2012 | Tauras(away) | 3-1 | A Lyga |
| Aug 19, 2012 | Ekranas(home) | 2-2 | A Lyga |
| Aug 12, 2012 | Suduva Marijampole(away) | 2-3 | A Lyga |
What does the head-to-head say?
Across the last 3 meetings: 1 Vilnius win, 0 draws, 2 Dainava wins.
| Date | Score | Competition |
|---|---|---|
| Jun 30, 2012 | Dainava 2-0 Vilnius | A Lyga |
| May 21, 2012 | Vilnius 1-0 Dainava | A Lyga |
| Mar 11, 2012 | Dainava 3-2 Vilnius | A Lyga |
How many goals should we expect?
Vilnius score 1.0 and concede 2.3 goals per match over their last 15; Dainava score 1.4 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vilnius | 1.0 | 2.3 | 3 | 5/15 | 10/15 |
| Dainava | 1.4 | 2.3 | 1 | 10/15 | 12/15 |
Over the last 15 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 Vilnius vs Dainava?
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