Palanga vs Polonija: result 4-2 and analysis
1 LygaRelegation Round - 2Kick-off on October 6, 2013 at 12:00 PM (UTC)Centrinis miesto stadionas, Palanga
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What was the result of Palanga vs Polonija?
Palanga won 4-2 on October 6, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Palanga have 1 win, 2 draws and 12 defeats; Polonija have 3, 1 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2013 | Šilutė(away) | 2-4 | 1 Lyga |
| Sep 21, 2013 | Lokomotyvas Radviliškis(away) | 0-3 | 1 Lyga |
| Sep 14, 2013 | Žalgirietis(home) | 0-4 | 1 Lyga |
| Sep 7, 2013 | Granitas Klaipėda(home) | 2-2 | 1 Lyga |
| Aug 30, 2013 | Šilas(home) | 1-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2013 | Lokomotyvas Radviliškis(home) | 1-5 | 1 Lyga |
| Sep 22, 2013 | Granitas Klaipėda(home) | 1-5 | 1 Lyga |
| Sep 13, 2013 | Šilas(home) | 4-2 | 1 Lyga |
| Sep 8, 2013 | Kauno Žalgiris(away) | 2-5 | 1 Lyga |
| Aug 31, 2013 | Jonava(home) | 1-2 | 1 Lyga |
What does the head-to-head say?
Across the last 5 meetings: 0 Palanga wins, 1 draw, 4 Polonija wins.
| Date | Score | Competition |
|---|---|---|
| Jul 6, 2013 | Palanga 1-3 Polonija | 1 Lyga |
| Apr 27, 2013 | Polonija 2-2 Palanga | 1 Lyga |
| Oct 6, 2012 | Polonija 5-0 Palanga | 1 Lyga |
| Aug 5, 2012 | Polonija 4-1 Palanga | 1 Lyga |
| May 19, 2012 | Palanga 1-2 Polonija | 1 Lyga |
How many goals should we expect?
Palanga score 0.7 and concede 3.1 goals per match over their last 15; Polonija score 1.3 and concede 3.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Palanga | 0.7 | 3.1 | 1 | 7/15 | 11/15 |
| Polonija | 1.3 | 3.5 | 1 | 11/15 | 12/15 |
Over the last 15 matches in all competitions.
A question about Palanga vs Polonija?
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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