Dainava vs Vilnius: result 2-0 and analysis
A LygaRegular Season - 19Kick-off on June 30, 2012 at 01:00 PM (UTC)Alytaus m. centrinis stadionas, Marijampolė
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What was the result of Dainava vs Vilnius?
Dainava won 2-0 on June 30, 2012.
Goalscorers
- 50′R. BlinovasDainava
- 51′M. BiržinisDainava
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dainava have 4 wins, 1 draws and 10 defeats; Vilnius have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 25, 2012 | FK Zalgiris Vilnius(home) | 1-3 | A Lyga |
| Jun 20, 2012 | Ekranas(away) | 2-3 | A Lyga |
| Jun 15, 2012 | Šiauliai(away) | 2-4 | A Lyga |
| Jun 9, 2012 | Tauras(home) | 3-1 | A Lyga |
| May 25, 2012 | Suduva Marijampole(home) | 2-4 | A Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 24, 2012 | Suduva Marijampole(home) | 0-2 | A Lyga |
| Jun 20, 2012 | Šiauliai(away) | 0-2 | A Lyga |
| Jun 17, 2012 | FK Zalgiris Vilnius(away) | 1-0 | A Lyga |
| Jun 10, 2012 | Kruoja(home) | 2-2 | A Lyga |
| May 26, 2012 | Atlantas(home) | 3-0 | A Lyga |
What does the head-to-head say?
Across the last 2 meetings: 1 Dainava win(s), 0 draw(s), 1 Vilnius win(s).
| Date | Score | Competition |
|---|---|---|
| May 21, 2012 | Vilnius 1-0 Dainava | A Lyga |
| Mar 11, 2012 | Dainava 3-2 Vilnius | A Lyga |
How many goals should we expect?
Dainava score 1.2 and concede 2.0 goals per match over their last 15; Vilnius score 0.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dainava | 1.2 | 2.0 | 3 | 8/15 | 9/15 |
| Vilnius | 0.9 | 1.3 | 6 | 5/15 | 6/15 |
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 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy