Dainava vs Palanga: result 3-1 and analysis
1 LygaRegular Season - 1Kick-off on March 25, 2017 at 02:00 PM (UTC)Alytaus m. centrinis stadionas, Marijampolė
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What was the result of Dainava vs Palanga?
Dainava won 3-1 on March 25, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dainava have 6 wins, 3 draws and 6 defeats; Palanga have 12, 3 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2016 | Panevėžys(away) | 2-3 | 1 Lyga |
| Oct 15, 2016 | Hegelmann Litauen(home) | 2-3 | 1 Lyga |
| Oct 9, 2016 | Nevėžis(away) | 1-2 | 1 Lyga |
| Oct 1, 2016 | Minija(home) | 7-3 | 1 Lyga |
| Sep 24, 2016 | Džiugas Telšiai(away) | 0-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2016 | Žalgiris II(away) | 2-1 | 1 Lyga |
| Oct 15, 2016 | Džiugas Telšiai(home) | 4-2 | 1 Lyga |
| Oct 9, 2016 | Vilniaus Vytis(home) | 2-0 | 1 Lyga |
| Oct 2, 2016 | Panevėžys(home) | 4-1 | 1 Lyga |
| Sep 24, 2016 | Šilas(away) | 0-0 | 1 Lyga |
What does the head-to-head say?
Across the last 2 meetings: 0 Dainava wins, 1 draw, 1 Palanga win.
| Date | Score | Competition |
|---|---|---|
| Aug 20, 2016 | Dainava 2-2 Palanga | 1 Lyga |
| Apr 30, 2016 | Palanga 4-2 Dainava | 1 Lyga |
How many goals should we expect?
Dainava score 1.7 and concede 1.7 goals per match over their last 15; Palanga score 3.5 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dainava | 1.7 | 1.7 | 5 | 7/15 | 10/15 |
| Palanga | 3.5 | 0.5 | 10 | 5/15 | 9/15 |
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?
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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