Žalgiris II vs Palanga: result 2-2 and analysis
1 LygaRegular Season - 28Kick-off on September 20, 2015 at 11:00 AM (UTC)Vilniaus LFF stadionas, Vilnius
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What was the result of Žalgiris II vs Palanga?
Žalgiris II and Palanga drew 2-2 on September 20, 2015.
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; Palanga have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 13, 2015 | Kruoja II(home) | 3-0 | 1 Lyga |
| Sep 9, 2015 | MRU(away) | 6-0 | 1 Lyga |
| Aug 29, 2015 | FK Panevezys(home) | 6-2 | 1 Lyga |
| Aug 23, 2015 | Nevėžis(home) | 5-1 | 1 Lyga |
| Aug 19, 2015 | Kruoja II(away) | 3-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 13, 2015 | Šilutė(home) | 0-1 | 1 Lyga |
| Sep 6, 2015 | Džiugas Telšiai(home) | 3-0 | 1 Lyga |
| Aug 30, 2015 | Minija(away) | 2-0 | 1 Lyga |
| Aug 27, 2015 | Banga(home) | 0-1 | 1 Lyga |
| Aug 23, 2015 | Trakai II(away) | 1-2 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 0 Žalgiris II wins, 0 draws, 1 Palanga win.
| Date | Score | Competition |
|---|---|---|
| Jul 24, 2015 | Palanga 3-2 Žalgiris II | 1 Lyga |
Last archived meeting: Palanga vs Žalgiris II on Jul 24, 2015
How many goals should we expect?
Žalgiris II score 3.5 and concede 0.9 goals per match over their last 15; Palanga score 2.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Žalgiris II | 3.5 | 0.9 | 7 | 8/15 | 14/15 |
| Palanga | 2.7 | 1.1 | 4 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Žalgiris II | 26 | 14 | 4 | 8 | 40 | 33 | 46 |
A question about Žalgiris II 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