Dainava vs Palanga: result 2-2 and analysis
1 LygaRegular Season - 21Kick-off on August 20, 2016 at 04:00 PM (UTC)Alytaus m. centrinis stadionas, Marijampolė
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What was the result of Dainava vs Palanga?
Dainava and Palanga drew 2-2 on August 20, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dainava have 8 wins, 1 draw and 6 defeats; Palanga have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 13, 2016 | Kaunas(away) | 5-0 | 1 Lyga |
| Aug 9, 2016 | Trakai II(away) | 2-1 | 1 Lyga |
| Aug 5, 2016 | Vilniaus Vytis(away) | 0-3 | 1 Lyga |
| Jul 31, 2016 | Žalgiris II(home) | 2-1 | 1 Lyga |
| Jul 6, 2016 | Banga(home) | 0-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 13, 2016 | Nevėžis(away) | 2-0 | 1 Lyga |
| Aug 9, 2016 | Hegelmann Litauen(home) | 4-0 | 1 Lyga |
| Jul 30, 2016 | Lokomotyvas Radviliškis(home) | 7-0 | 1 Lyga |
| Jul 6, 2016 | Kaunas(home) | 6-0 | 1 Lyga |
| Jul 1, 2016 | Žalgiris II(home) | 6-1 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 0 Dainava wins, 0 draws, 1 Palanga win.
| Date | Score | Competition |
|---|---|---|
| Apr 30, 2016 | Palanga 4-2 Dainava | 1 Lyga |
How many goals should we expect?
Dainava score 2.0 and concede 1.5 goals per match over their last 15; Palanga score 3.5 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dainava | 2.0 | 1.5 | 4 | 8/15 | 12/15 |
| Palanga | 3.5 | 1.2 | 6 | 8/15 | 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 | 29 | 13 | 8 | 8 | 44 | 29 | 47 |
A question about Dainava vs Palanga?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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