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
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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(s), 1 draw(s), 1 Dainava win(s).
| 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 | 20 | 10 | 6 | 4 | 33 | 19 | 36 |
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