Žalgiris II vs Dainava: result 1-1 and analysis
1 LygaRegular Season - 2Kick-off on April 3, 2016 at 12:00 PM (UTC)Vilniaus LFF stadionas, Vilnius
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What was the result of Žalgiris II vs Dainava?
Žalgiris II and Dainava drew 1-1 on April 3, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Žalgiris II have 12 wins, 1 draw and 2 defeats; Dainava have 1, 4 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 25, 2016 | Vilniaus Vytis(away) | 2-6 | 1 Lyga |
| Oct 31, 2015 | Kražantė(away) | 5-0 | 1 Lyga |
| Oct 24, 2015 | Auska(home) | 2-0 | 1 Lyga |
| Oct 21, 2015 | Lokomotyvas Radviliškis(home) | 4-1 | 1 Lyga |
| Oct 7, 2015 | Tauras(home) | 12-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 25, 2016 | Banga(away) | 1-1 | 1 Lyga |
| Nov 29, 2014 | FK Trakai(away) | 0-1 | A Lyga |
| Nov 20, 2014 | Suduva Marijampole(home) | 0-6 | A Lyga |
| Nov 9, 2014 | FK Zalgiris Vilnius(away) | 0-2 | A Lyga |
| Oct 31, 2014 | Banga(home) | 0-0 | A Lyga |
How many goals should we expect?
Žalgiris II score 3.9 and concede 1.1 goals per match over their last 15; Dainava score 0.3 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Žalgiris II | 3.9 | 1.1 | 8 | 7/15 | 13/15 |
| Dainava | 0.3 | 1.8 | 4 | 3/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Žalgiris II sit 4th in 1 Lyga (46 points from 26 matches) and Dainava sit 8th (41 points from 26 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Žalgiris II | 26 | 14 | 4 | 8 | 40 | 33 | 46 |
| 8 | Dainava | 26 | 11 | 8 | 7 | 37 | 27 | 41 |
A question about Žalgiris II vs Dainava?
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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