Palanga vs Granitas: result 0-3 and analysis
1 LygaRegular Season - 22Kick-off on September 22, 2012 at 12:00 PM (UTC)Centrinis miesto stadionas, Palanga
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What was the result of Palanga vs Granitas?
Granitas won 0-3 on September 22, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Palanga have 5 wins, 4 draws and 6 defeats; Granitas have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2012 | Nevėžis(away) | 1-1 | 1 Lyga |
| Sep 8, 2012 | FK Trakai(home) | 1-1 | 1 Lyga |
| Sep 1, 2012 | Jonava(away) | 2-3 | 1 Lyga |
| Aug 25, 2012 | Kedainiai(away) | 4-0 | 1 Lyga |
| Aug 17, 2012 | Venta(home) | 3-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2012 | NFA Kaunas(away) | 4-2 | 1 Lyga |
| Sep 9, 2012 | Nevėžis(home) | 0-1 | 1 Lyga |
| Sep 1, 2012 | FK Trakai(away) | 2-3 | 1 Lyga |
| Aug 25, 2012 | Jonava(home) | 1-1 | 1 Lyga |
| Aug 18, 2012 | Kedainiai(home) | 5-0 | 1 Lyga |
What does the head-to-head say?
Across the last 2 meetings: 0 Palanga wins, 1 draw, 1 Granitas win.
| Date | Score | Competition |
|---|---|---|
| Jul 6, 2012 | Granitas 2-1 Palanga | 1 Lyga |
| May 5, 2012 | Palanga 0-0 Granitas | 1 Lyga |
How many goals should we expect?
Palanga score 1.7 and concede 1.9 goals per match over their last 15; Granitas score 1.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Palanga | 1.7 | 1.9 | 3 | 11/15 | 10/15 |
| Granitas | 1.9 | 1.3 | 5 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Palanga vs Granitas?
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