Palanga vs Dainava: result 0-2 and analysis
1 LygaRegular Season - 16Kick-off on July 26, 2017 at 04:00 PM (UTC)Centrinis miesto stadionas, Palanga
Full time
What was the result of Palanga vs Dainava?
Dainava won 0-2 on July 26, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Palanga have 11 wins, 2 draws and 2 defeats; Dainava have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 5, 2017 | Trakai II(away) | 3-1 | 1 Lyga |
| Jul 1, 2017 | Panevėžys(home) | 1-0 | 1 Lyga |
| Jun 20, 2017 | Tauras(away) | 3-2 | 1 Lyga |
| Jun 16, 2017 | Džiugas Telšiai(home) | 2-2 | 1 Lyga |
| Jun 9, 2017 | Vilniaus Vytis(home) | 2-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 6, 2017 | Panevėžys(home) | 2-1 | 1 Lyga |
| Jul 1, 2017 | Tauras(away) | 2-2 | 1 Lyga |
| Jun 20, 2017 | Džiugas Telšiai(away) | 1-1 | 1 Lyga |
| Jun 16, 2017 | Vilniaus Vytis(home) | 2-1 | 1 Lyga |
| Jun 11, 2017 | Žalgiris II(home) | 2-0 | 1 Lyga |
What does the head-to-head say?
Across the last 3 meetings: 1 Palanga win, 1 draw, 1 Dainava win.
| Date | Score | Competition |
|---|---|---|
| Mar 25, 2017 | Dainava 3-1 Palanga | 1 Lyga |
| Aug 20, 2016 | Dainava 2-2 Palanga | 1 Lyga |
| Apr 30, 2016 | Palanga 4-2 Dainava | 1 Lyga |
How many goals should we expect?
Palanga score 2.2 and concede 1.1 goals per match over their last 15; Dainava score 2.5 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Palanga | 2.2 | 1.1 | 5 | 10/15 | 12/15 |
| Dainava | 2.5 | 1.4 | 3 | 12/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 6 | Dainava | 27 | 12 | 8 | 7 | 40 | 28 | 44 |
A question about Palanga vs Dainava?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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