Šilutė vs Palanga: result 0-1 and analysis
1 LygaRegular Season - 9Kick-off on May 31, 2014 at 11:00 AM (UTC)Šilutės miesto stadionas, Šilutė
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What was the result of Šilutė vs Palanga?
Palanga won 0-1 on May 31, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Šilutė have 2 wins, 4 draws and 9 defeats; Palanga have 3, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 24, 2014 | Stumbras(home) | 0-2 | 1 Lyga |
| May 20, 2014 | MRU(home) | 0-0 | 1 Lyga |
| May 14, 2014 | Tauras(away) | 0-3 | 1 Lyga |
| May 10, 2014 | Nevėžis(home) | 2-3 | 1 Lyga |
| May 4, 2014 | Šilas(away) | 2-3 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2014 | Baltija(away) | 1-2 | 1 Lyga |
| May 18, 2014 | Utenis Utena(home) | 0-3 | 1 Lyga |
| May 10, 2014 | Stumbras(away) | 1-4 | 1 Lyga |
| May 4, 2014 | MRU(home) | 1-1 | 1 Lyga |
| Apr 26, 2014 | Tauras(away) | 2-1 | 1 Lyga |
What does the head-to-head say?
Across the last 6 meetings: 3 Šilutė wins, 2 draws, 1 Palanga win.
| Date | Score | Competition |
|---|---|---|
| Sep 28, 2013 | Šilutė 4-2 Palanga | 1 Lyga |
| Jul 2, 2013 | Šilutė 1-0 Palanga | 1 Lyga |
| Jun 19, 2013 | Palanga 1-3 Šilutė | 1 Lyga |
| Oct 13, 2012 | Palanga 1-1 Šilutė | 1 Lyga |
| Aug 11, 2012 | Palanga 2-0 Šilutė | 1 Lyga |
| May 26, 2012 | Šilutė 2-2 Palanga | 1 Lyga |
How many goals should we expect?
Šilutė score 0.9 and concede 1.8 goals per match over their last 15; Palanga score 1.1 and concede 3.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Šilutė | 0.9 | 1.8 | 3 | 7/15 | 7/15 |
| Palanga | 1.1 | 3.4 | 0 | 9/15 | 14/15 |
Over the last 15 matches in all competitions.
A question about Šilutė 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