Dainava vs Kruoja: result 1-2 and analysis
A LygaRegular Season - 22Kick-off on August 4, 2012 at 02:00 PM (UTC)Alytaus m. centrinis stadionas, Marijampolė
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What was the result of Dainava vs Kruoja?
Kruoja won 1-2 on August 4, 2012.
Goalscorers
- 28′P. SakalisDainava
- 65′V. RutkauskasKruoja (o.g.)
- 90′A. ŽulpaKruoja
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dainava have 5 wins, 0 draws and 10 defeats; Kruoja have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 28, 2012 | Atlantas(away) | 1-2 | A Lyga |
| Jul 20, 2012 | Banga(home) | 0-4 | A Lyga |
| Jun 30, 2012 | Vilnius(home) | 2-0 | A Lyga |
| Jun 25, 2012 | FK Zalgiris Vilnius(home) | 1-3 | A Lyga |
| Jun 20, 2012 | Ekranas(away) | 2-3 | A Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 30, 2012 | FK Zalgiris Vilnius(home) | 0-1 | A Lyga |
| Jul 22, 2012 | Šiauliai(away) | 0-1 | A Lyga |
| Jun 30, 2012 | Tauras(home) | 3-1 | A Lyga |
| Jun 25, 2012 | Ekranas(home) | 1-1 | A Lyga |
| Jun 21, 2012 | Atlantas(home) | 5-1 | A Lyga |
What does the head-to-head say?
Across the last 2 meetings: 0 Dainava win(s), 1 draw(s), 1 Kruoja win(s).
| Date | Score | Competition |
|---|---|---|
| May 17, 2012 | Kruoja 2-0 Dainava | A Lyga |
| Mar 30, 2012 | Dainava 0-0 Kruoja | A Lyga |
How many goals should we expect?
Dainava score 1.3 and concede 2.1 goals per match over their last 15; Kruoja score 1.7 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dainava | 1.3 | 2.1 | 3 | 8/15 | 10/15 |
| Kruoja | 1.7 | 1.0 | 4 | 7/15 | 7/15 |
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